Artificial intelligence (AI) Books

Book SynopsisAs Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.Table of ContentsIntroduction to Artificial Intelligence in Economics and Finance Theories.- The Growth Model.- Comparative Advantage.- The Dual-Sector Model.- Dynamic Inconsistency Theory.- The Philipps Curve.- The Laffer Curve.- Adverse Selection.- Moral Hazard.- Creative Destruction.- The Agency Theory.- The Legitimacy Theory and the Legitimacy Gap.- Synopsis: Artificial Intelligence in Finance and Economics Theories.- Index

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Book Synopsis​This book presents the outcomes of the symposium “NEW METROPOLITAN PERSPECTIVES,” held at Mediterranea University, Reggio Calabria, Italy on May 26–28, 2020.Addressing the challenge of Knowledge Dynamics and Innovation-driven Policies Towards Urban and Regional Transition, the book presents a multi-disciplinary debate on the new frontiers of strategic and spatial planning, economic programs and decision support tools in connection with urban–rural area networks and metropolitan centers. The respective papers focus on six major tracks: Innovation dynamics, smart cities and ICT; Urban regeneration, community-led practices and PPP; Local development, inland and urban areas in territorial cohesion strategies; Mobility, accessibility and infrastructures; Heritage, landscape and identity;and Risk management,environment and energy. The book also includes a Special Section on Rhegion United Nations 2020-2030. Given its scope, the book will benefit all researchers, practitioners and policymakers interested in issues concerning metropolitan and marginal areas.Table of ContentsDisposal of Bergamot By-products by Animal Productions.- Sustainable Attitudes of Local People on the Purchase of Local Food. An empirical investigation on Italian products.- Transhumance Routes in the Perspective of Tourist Use: Case Studies in Calabria, Italy.- Italy Testing the Place-based Approach: River Agreements and National Strategy for Inner Areas.- The "blue vision" of Ionian Coastal Rural Area.

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Book SynopsisSince its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI.Table of ContentsRecognising Handwritten Digits Using a Fuzzy Neural Network Joshua Reynolds and Tianhua Chen Fuzzy Assessment of Student Academic Performances Shangen Yang and Tianhua Chen A Hybrid Fuzzy Neural Network for Image Recognition Samaresh Nayak and Tianhua Chen A Fuzzy Diagnostic System for Heart Disease Siyue Song, Tianhua Chen, and Grigoris Antoniou Analysing Medical Notes using Fuzzy Logic Siyue Song, Tianhua Chen, and Grigoris Antoniou Fostering Positive Personalisation through Fuzzy Clustering Raymond Moodley Fuzzy Logic in Modern Information Retrieval Steve Wade Fuzzy Applied to Sentiment Analysis Orestes Appel Fuzzy Logic, a Logicians Perspective Patrick Fogarty Applications of Fuzzy Logic in an Automated Warehouse Patrick Fogarty Can Fuzzy Systems Assist with Project Planning? Daniel Maia and Arjab Khuman Fuzzy Logic in Autonomous Vehicles David McDougall and Arjab Khuman AI Spawning Fuzzy Logic Fuzzy Inference System Reece Carey and Arjab Khuman The Application of Fuzzy Logic on Intelligent Transportation Systems Nath Lloyd and Arjab Khuman Fuzzy Logic Applied to Water Processes Will Chapman and Arjab Khuman Applications of Fuzzy Logic in Autonomous Vehicles Sam Asquith and Arjab Khuman Predicting Cyber Threats using Fuzzy Logic Jarrad Morden and Arjab Khuman Implementations of Fuzzy Logic in Camera Systems Sophie Hughes and Arjab Khuman Application of a Fuzzy Logic Control System for Stock Market Prediction Based on Technical Indicators and Fundamental Analysis Humza Nazir and Arjab Khuman The Application of Fuzzy Logic in Determining Outcomes of Sporting Events Spencer Deane and Arjab Khuman Using Fuzzy Logic to Educate People on Phishing Harry Taylor and Arjab Khuman

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Book SynopsisThis book presents the proceedings of the 8th International Ergonomics Conference (ERGONOMICS), held in Zagreb, Croatia on December 2-5, 2020. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including engineering, design, robotics, healthcare, management, computer science, human biology and behavioral science, it provides researchers and practitioners alike with a comprehensive, timely guide on human factors and ergonomics. It also offers an excellent source of innovative ideas to stimulate future discussions and developments aimed at applying knowledge and techniques to optimize system performance, while at the same time promoting the health, safety and wellbeing of individuals. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors.Table of Contents

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Book SynopsisThis book brings together technical expertise, best practices, case studies and ground-level application of the ideas for empowering the rural population of the world to live economically prosperous, environmentally sustainable, and socially progressive lives, on par or comparable with the quality of life enjoyed by the global urban population. The idea of Smart Villages takes on greater urgency in light of the investments made in this millennium on “Smart Cities”, taking advantage of the technological advances, particularly in digital connectivity. These investments have and will continue to expand the urban-rural divide, unless similar investments are made in the villages as well. The book provides a much-needed guide for a holistic development of a Smart Village, by defining the need, developing the framework, and describing the delivery, complete with successful case studies. Contributors to the book, from Canada, USA, Africa and India bring years of academic, industry and governmental experience, including organization of several Smart Village conferences. The knowledge base in the book will be of great value to anyone interested in or active in rural planning, including governmental and non-governmental organizations, industrial solution providers, public healthcare professionals, public policy professionals and students, as well as rural communities around the world. Consolidates all the aspects of creating/developing a Smart Village; Delivers an effective tool-kit for practitioners in the area of Smart Villages; Provides a policy-based framework for the development of an ideal Smart Village; Illustrates, through case studies, the fulfillment of key requirements of a Smart Village; Brings together experts from around the world to share their vision of a Smart Village; Highlights the importance of balancing development with social/gender equity and cultural traditions. Table of ContentsIntroduction.- Part 1. Defining the Need.- Chapter 1. Setting the Scene.- Chapter 2. Smart Village-Concepts and Intended Benefits.- Chaper 3. Bridging the Urban-Rural Divide.- Chapter 4. An Ideal Smart Village – Methodology, Parameters and Metrics.- Chapter 5. Ensuring a Sustainable Development Ecosystem.- Chapter 6. Preserving Indigenous Traditions and Values.- Part II. Buidling the Framework.- Chapter 7.Governance Aspects of a Smart Village – Developed Economy.- Chapter 8. Decentralizing towards Good Governance at the Grassroots.- Chapter 9. Components of an Ontology for a Smart Village.- Chapter 10. A Blueprint for Rural Public Health.- Chapter 11. Socio-Economic Conceptualization of Smart Villages.- Chapter 12. Smart Villages – Indian Realities, Opportunities and Way Forward.- Chapter 13. Leveraging Physical, Digital and Knowledge Connectivity for Smart Villages.- Chapter 14. An Appropriate Technology for Value Addition in Rural Indian Villages.- Chapter 15. The Role of Skills Development in Smart Villages.- Chapter 16. Financing and Development of a Smart Village.- Part III. The Enablers-Delivery and Case Studies.- Chapter 17. Smart Village – The Canadian Experience.- Chapter 18. Strengthening Rural Economy through Farmer Producer Companies.- Chapter 19. Resources and Agriculture - Smart Village Enablers in African Smart Villages.- Chapter 20. Clean Water Supply in Rural Odisha – A Case Study.- Chapter 21.Sustainable Water for Smart Villages – A Case Study.- Chapter 22. Value Added Options in Agriculture in Smart Villages.- Chapter 23. A Healthcare Case Study from Botswana, Africa.- Chapter 24. Smart Health and Wellness Promoting Villages – A Case Study from India.- Chapter 25. Lessons from Distance Healthcare Delivery Case Study - India.- Chapter 26. A Rural Nurse-led Public Health Case Study in Tamil Nadu, India.- Chapter 27.Cloud-based Solutions for Education and Skill Development – Botswana.- Chapter 28. Pan-African E-Network – A Distance Education Case Study.- Chapter 29. Implementing Appropriate Technology for Empowerment of Women in Indian Villages – A Case Study.- Chapter 30. A Unique Smart Village for People with Different Abilities.- Chapter 31. Preserving Traditions in a Smart Village – A Pan-African Perspective.- Chapter 32. COVID-19 – Implications of the Pandemic in the 21st Century.- Chapter 33. Going Forward.

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Book SynopsisThis book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:• a review of various existing structures of sliding-mode fuzzy control;• a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;• state-of-the-art procedures for the design of a sliding-mode fuzzy controller;• source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;• a short bibliography for each chapter for readers interested in learning more on a particular subject; and• illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.Table of ContentsMathematica Preliminaries.- Fuzzy and Fuzzy Neural-Network Systems: Type 1 and Type 2.- Sliding-Mode Control: Design, Advantages and Challenges.- Sliding-Mode Fuzzy-Logic Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers to Control Systems over Networks.- Simulation Results.

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Book SynopsisThis book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. Table of ContentsCross Entropy Based Thresholding Segmentation of Magnetic Resonance Prostatic Images Using Metaheuristic Algorithms.- Hyperparameter Optimization in a Convolutional Neural Network Using Metaheuristic Algorithms.- Diagnosis of collateral effects in climate change through the identification of leaf damage using a novel heuristics and machine learning framework.- Feature engineering for Machine Learning and Deep Learning assisted Wireless Communication.- Genetic operators and their impact on the training of deep neural networks.- Implementation of metaheuristics with Extreme Learning Machines.- Architecture optimization of convolutional neural networks by micro genetic algorithms.- Optimising Connection Weights in Neural Networks using a Memetic Algorithm Incorporating Chaos Theory.- A review of metaheuristic optimization algorithms for wireless sensor networks.- A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics.- A Review of multi-level thresholding image segmentation using nature-inspired optimization algorithms.- Hybrid Harris Hawks Optimization with Differential Evolution for Data Clustering.- Variable Mesh Optimization for Continuous Optimization and Multimodal Problems.- Traffic control using image processing and deep learning techniques.- Drug Design and Discovery: Theory,Applications, Open Issues and Challenges.- Thresholding algorithm applied to Chest X-Ray images with Pneumonia.- Artificial neural networks for stock market prediction: a comprehensive review.- Image classification with Convolutional Neural Networks.- Applied Machine Learning Techniques to Find Patterns and Trends in the Use of Bicycle Sharing Systems Influenced by Traffic Accidents and Violent Events in Guadalajara, Mexico.- Machine Reading Comprehension (LSTM) Review (state of art).- A Survey of Metaheuristic Algorithms for Solving Optimization Problems.- Integrating metaheuristic algorithms and minimum cross entropy for image segmentation in mist conditions.- A Machine Learning application for Particle Physics: Mexico’s involvement in the Hyper- Kamiokande observatory.- A novel metaheuristic approach for Image Contrast Enhancement based on gray-scale mapping.- Geospatial Data Mining Techniques Survey.- Integration of Internet of Things and cloud computing for Cardiac health recognition.- Combinatorial Optimization for Artificial Intelligence Enabled Mobile Network Automation.- Performance Optimization of PID Controller based on Parameters Estimation using Meta-Heuristic Techniques : A Comparative Study.- Solar Irradiation Changes Detection for Photovoltaic Systems through ANN trained with a Metaheuristic Algorithm.- Genetic Algorithm based Global and Local Feature Selection Approach for Handwritten Numeral Recognition.

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Book SynopsisThis book includes constructive approximation theory; it presents ordinary and fractional approximations by positive sublinear operators, and high order approximation by multivariate generalized Picard, Gauss–Weierstrass, Poisson–Cauchy and trigonometric singular integrals. Constructive and Computational Fractional Analysis recently is more and more in the center of mathematics because of their great applications in the real world. In this book, all presented is original work by the author given at a very general level to cover a maximum number of cases in various applications. The author applies generalized fractional differentiation techniques of Riemann–Liouville, Caputo and Canavati types and of fractional variable order to various kinds of inequalities such as of Opial, Hardy, Hilbert–Pachpatte and on the spherical shell. He continues with E. R. Love left- and right-side fractional integral inequalities. They follow fractional Landau inequalities, of left and right sides, univariate and multivariate, including ones for Semigroups. These are developed to all possible directions, and right-side multivariate fractional Taylor formulae are proven for the purpose. It continues with several Gronwall fractional inequalities of variable order. This book results are expected to find applications in many areas of pure and applied mathematics. As such this book is suitable for researchers, graduate students and seminars of the above disciplines, also to be in all science and engineering libraries.Table of ContentsVariable order general fractional integral inequalitie.- Variable order fractional integral inequalities for spherical shell.- Left fractional integral inequalities of E.R. Love type.- Right side fractional integral inequalities of E.R. Love type.- General fractional Landau inequalities.- Abstract fractional Landau inequalities.- Fractional Landau inequalities of Riemann-Liouville type.- Generalized Canavati fractional Landau inequalities.- Sequential left abstract fractional Landau inequalities.- Iterated left abstract generalized fractional Landau inequalities.

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Book SynopsisThis book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan’s research on artificial intelligence with other countries. In recent years, AI research has proved of great interest to business people. The event draws both more and more presenters and attendees every year, including people of diverse backgrounds such as law and the social sciences, in additional to artificial intelligence. We are extremely pleased to publish this collection of papers as the research results of our international sessions.Table of ContentsA Node Classification Approach for Dynamically Extracting the Structures of Online Discussions.- Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment.- On the Legal Revision in PROLEG program.- Viewpoint Planning based on Uncertainty Maps Created from the Generative Query Network.- Active Learning-based Data Collection in Crowd Replication.- Mining in Discharge Summaries.- Identifying Snowfall Clouds at Syowa Station, Antarctica via a Convolutional Neural Network.- Transfer Learning based Data Collection Method for Dialogue Response Generation concerning Causality.- Impact of Domain Knowledge's Quality on Inverse Reinforcement Learning.- Intrinsically Motivated Lifelong Exploration in Reinforcement Learning.- A Preliminary Analysis of Offensive Language Detection Transferability from Social Media to Video Live Streaming Platforms.- BERT-based Dialogue Evaluation Methods with RUBER Framework.- The Morandi Room Entering the World of Morandi’s Paintings through Machine Learning.

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Book SynopsisThis Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics.The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI). Table of ContentsAssembly Planning: Generic Modeling Technique for flexible and highly available Assembly Systems.- Transmitter Positioning of Distributed Large-scale Metrology within Lineless Mobile Assembly Systems.- Optimized High Precision Stacking of Fuel Cell Components for Medium to Large Production Volumes.- Mobile, Modular and Adaptive Assembly Jigs for Large-scale Products.- Design of an Automated Assembly Station for Process Development of All-Solid-State Battery Cell Assembly.-Grasping: Combined Structural and Dimensional Synthesis of a Parallel Robot for Cryogenic Handling Tasks.- Secure Clamping of Parts for Disassembly for Remanufacturing.- Aerial grasping and transport using an unmanned aircraft (UA) equipped with an industrial suction gripper.- Computing Gripping Points in 2D Parallel Surfaces via Polygon Clipping.- Concept for robot-based cable assembly regarding industrial production.- Human-Machine Interaction: Improving the understanding of a remote environment by immersive Man-Machine interaction.- Towards a Modular Elbow Exoskeleton: Concepts for Design and SystemControl.- Adaptive Motion Control Middleware for Teleoperation based on Pose Tracking and Trajectory Planning.- Approach of a Decision Support Matrix for the Implementation of Exoskeletons in Industrial Workplaces.- An approach to integrate a blockchain-based payment model and independent secure documentation for a Robot as a Service.- Human-Robot Collaboration: Human Body Simulation within a Hybrid Operating Method for a Safe and Efficient Human-Robot Collaboration.- Towards Semi Automated Pre-assembly for Aircraft Interior Production.- An approach for direct offline programming of high precision assembly tasks on 3D scans using tactile control and automatic program adaption.- Industry 4.0: Implementation of innovative manufacturing technologies in foundries for large-volume components.- The Digital Twin as a mediator for the digitalization and conservation of expert knowledge.- Web Service for Point Cloud supported Robot Programming using Machine Learning.- Using of Augmented Reality for improved Human-Machine interaction and Real-Time Error Correction of Laboratory Units.- Scalability of assembly line automation based on the integrated product development approach.- Machine Vision: Robot-based Creation of Complete 3D Workpiece Models.- Classification of assembly operations using recurrent neural networks.- Configuration and enablement of vision sensor solutions through a combined simulation based process chain.- Towards Synthetic AI Training Data for Image Classification in Intralogistic Settings.- Evaluation of ML-based Grasping Approaches inthe Field of Automated Assembly.- Robot Programming: Playback Robot Programming Framework for Fiber Spray Processes.- LiDAR-Based Localization for Formation Control of Multi-Robot Systems.- Playback Robot Programming With Loop Increments.- Web-based platform for the configuration of robot applications: A retrospective view on the research project ROBOTOP.- Partial Automated Multi-Pass-Welding for Thick Sheet Metal Connections.

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Book SynopsisThis book explores the dynamic landscape in contemporary newsrooms across three continents by investigating the impact that the processes of searching, processing, and distributing data and information and the use of big data, with secure, automatic, and agile retrieval of information all have in this context. Journalistic organizations have undergone digital transformations, and only those implementing accurate transformations survive. In so doing, the book addresses the fields of e-Communication, Computer Science, and Information Science and other areas of the authors’ expertise. The first five chapters focus on technical visits to investigate newsrooms’ productive routines and flows in major dailies from Brazil, Costa Rica, and England. The remaining chapters consider that the news production routines are cooperative and distributed and at the same time need to be managed from different perspectives to support the convergence of digital media. Last but not least, the book also identifies an increase in ICT-based tools, with an increasing connection from new media combined with the growing trend of digital economy practices as important factors in the new landscape of digital journalism.Table of ContentsJournalistic newsrooms: convergence and Innovation on three continents. A case study on five media organization.- Technological Convergence, the Integration of Media in the Offers, and the Information Workflow of the daily O Globo (Brazil).- Big Data and the Studies of Communication in Brazil — Notes on reconfiguring a knowledge field.- Perspectives of Journalists’ content production from print newspaper to virtual newsroom 4.0.- Appendix: The MDM Project.

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Book SynopsisThis book is a collection of cutting-edge and cross-disciplinary studies on natural, human-made, and coupled human-natural systems, addressing the challenge of developing integrated knowledge from multiple disciplines. The authors explore the structure, function, and dynamic mechanisms of various systems, both natural and human-made, as well as analyze their reciprocal interactions under the concept of “coupled human-natural systems.” These interactions are used to understand feedback, nonlinearities, thresholds, time lags, legacy effects, and path dependencies, emerging across multiple spatial, temporal, and organizational scales. In other words, this book is a collection of advanced research on unique properties of natural and human-made systems, as well as human-environment dynamics, reciprocal relationships, and cross-scale interactions.The authors outline prospects on building a holistic view of social development and coherent sustainability. Among the topics covered are the following: human networks research; adaptation of local people to social and environmental challenges; coupled dynamics of socioeconomic and environmental systems; critical issues in social science climate change research; education for greater sustainability; peace, justice, and strong institutions; advances in cultural traditions and strategies for social stability; innovative development and barriers to sustainable development; economic systems in the age of digital changes and unstable external environments. The scholars analyze how more effective technologies can enhance resilience, reduce vulnerability, and minimize human impacts on natural systems, taking into consideration critical thresholds to prevent harmful feedback to human systems.The authors grasp the complexity of systems by integrating knowledge of constituent subsystems and their interactions. The framework developed by the authors is used to integrate human and natural systems for achieving greater sustainability, covering critical threats, challenges, and best governance approaches and practices. The research results obtained from studies on coupled human-natural systems are stronger, the authors argue, if compared with traditional (discipline) approaches. Table of ContentsPublic Opinion on Park Transformation Projects: The Case of the Oktyabrsky District in Barnaul, Russia.- Application of Polygraph in the Environmental Crimes Investigation.- Reproductive Attitudes of Young Women as a Potential Threat to Social Safety.- International Tourism Before and After the Pandemic.- A Novel Natural Strain of Bacillus Pumilus as a Biological Resource for the Microbial Preparations Development.

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Book SynopsisThis book is the result of a multi-year research project led and sponsored by the University of Chieti-Pescara, National Chengchi University, University of Salamanca, and Osaka University. It is the fifth volume to emerge from that international project, held under the aegis of the United Nations Academic Impact in 2020. All the essays in this volume were (virtually) discussed at the University of L’Aquila―as the venue of the 2nd International Conference on Decision Economics, a three-day global gathering of approximately one hundred scholars and practitioners—and were subjected to thorough peer review by leading experts in the field. The essays reflect the extent, diversity, and richness of several research areas, both normative and descriptive, and are an invaluable resource for graduate-level and PhD students, academics, researchers, policymakers and other professionals, especially in the social and cognitive sciences. Given its interdisciplinary scope, the book subsequently delivers new approaches on how to contribute to the future of economics, providing alternative explanations for various socio-economic issues such as computable humanities; cognitive, behavioural, and experimental perspectives in economics; data analysis and machine learning as well as research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics; agent-based modelling and the related. The editors are grateful to the scientific committee for its continuous support throughout the research project as well as to the many participants for their insightful comments and always probing questions. In any case, the collaboration involved in the project extends far beyond the group of authors published in this volume and is reflected in the quality of the essays published over the years.

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Book SynopsisThis book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.Table of ContentsStudy on Discrete Action Sequences using Deep Emotional Intelligence.- A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms.- A High Security Framework through Human Brain using Algo Mixture Model Deep Learning Algorithm.- Knowledge Framework for Deep Learning: Congenital Heart Disease.- Computing System and Machine Learning.- Automatic Image Segmentation by Ranking based SVM in Convolutional Neural Network on Diabetic Fundus Image.

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Book SynopsisThis book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.Table of ContentsPart I: Biomedical Applications of Computational Intelligence Techniques.- Bilattice CADIAG-II: Theory and Experimental Results.- A Combination Model of Robust Principal Component Analysis and Multiple Kernel Learning for Cancer Patient Stratification.- Attention U-Net with Active Contour based Hybrid Loss for Brain Tumor Segmentation.- Refining Skip Connections by Fusing Multi-scaled Context in Neural Network for Cardiac MR Image Segmentation.- End-to-end Hand Rehabilitation System with Single-shot Gesture Classification for Stroke Patients.- Feature Selection based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis.- Clinical Decision Support Systems for Pneumonia Diagnosis using Gradient-weighted Class Activation Mapping and Convolutional Neural Networks.- Improving 3D Hand Pose Estimation with Synthetic RGB Image Enhancement using RetinexNet and Dehazing.- Imbalance in Learning Chest X-ray Images for COVID-19 Detection.- Deep Learning based COVID-19 Diagnosis by Joint Classification and Segmentation.- Part II: General Computational Intelligence Techniques and Their Applications.- Why It Is Sufficient to Have Real-Valued Amplitudes in Quantum Computing.

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Book SynopsisThis book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter – providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it. Table of ContentsIntroduction.- Fairness and proxy features.- Bias in data.- Explainability.- Remove bias from ML model.- Remove bias from ML output.- Accountability in AI.- Data & Model privacy.- Conclusion.

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Book SynopsisThis book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications.Table of ContentsIntroduction.- Artificial Intelligence in Healthcare.- IoT for Modern Life.- Artificial Intelligence in Multimedia Technology.- Artificial Intelligence in Security and Surveillance.- Artificial Intelligence in Big Data Analytics.- Communication Technologies.- Machine Learning and Computing.- Optimizations using Deep learning.- Engineering design for sustainable development using IOT/AI.- Intelligent and Smart Grid Systems.- Energy conservation using AI Technology.- Smart Cities.- Industry 4.0.- Robotic Process Automation.- Conclusion.

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Book SynopsisThis book constitutes the refereed proceedings of the artificial intelligence in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Artificial intelligence in intelligent systems topics are presented in this book. Modern hybrid and bio-inspired algorithms and their application are discussed in selected papers.Table of ContentsOnline teaching as an important means of technogenic society development during the pandemic.- Application of Principal Component Analysis based Support Vector Machine for long-run Economic Growth Forecasting.- Experimental Study of Speed Parameters and Resource Intensity of Programming Languages for Embedded Systems.- Classification of Cardiotocography data for fetal health using Feature Selection Techniques.- Intersection as an Event- and Agent-Based System.- Comparison of UAV Landing Site Classifications with Deep Neural Networks.- An Approach to Optimize Multi-objective Problems using Hybrid Genetic Algorithms Supported by Initial Centroid Selection Optimization Enhanced K-Means Based Selection Operator.- Numerical Modelling of the Impact of Dredging on Stability of Oum Rabiâ estuary (Morocco) using SWAN Model.- New method of verifying cryptographic protocols, based on the process model.- A Method of Search Space Adaptation in the False Pseudonyms Detection Procedure.- Analytical Studies of Behavior of Users of the Moscow Electronic School Service.- Information and Control Systems with Distributed Ledger Usage: a Reliability Issue.- A Modified Ontology-Based Method of Workload Relocation Problem Solving for Monitoring and Forecasting Systems.- Intelligent data analysis using a classification method for data mining knowledge discovery process.- Multimodal Transportation Overview andOptimization Ontology for a Greener Future.- A Complex Cognitive-Based Technique for Social Tension Detection in the Internet Communities.- Method of crystallization of alternatives for solving the problem of placing VLSI elements.- Resilient Rerouting in IoT Systems with Evolutionary Computing.- Urban Monthly Water Consumption Forecasting Based on Signal Decomposition and Optimized Extreme Learning Machine.- Comparison of Control Systems Based on PID Controllers and Based on Fuzzy Logic Using MatLab and Simulink.

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Book SynopsisThis book constitutes the refereed proceedings of the informatics and cybernetics in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021. Modern cybernetics and computer engineering papers in the scope of intelligent systems are an essential part of actual research topics. In this book, a discussion of modern algorithms approaches techniques is held. Table of ContentsDesign of multi loop control systems with decision makers under incomplete information.- Forecasting and Assessing the Risk of Negative Consequences of Strategic Decisions in Organisation Systems.- Application of Computer Methods for acoustic analysis of the West-Middle German Dialect.- The Concept of Intellectualized Control in Precision Farming.- Allocation of Organizational and Financial Resources of the Information Protection Side Using a Genetic Algorithm.- Application of information security technologies for improving the imitation resistance of low-orbital satellite communication systems.- Time series forecasting based on neural analysis.- Alternative designs of high load queuing systems with small queue.- Verification of HotStuff BFT Consensus Protocol With TLA+/TLC in an Industrial Setting.- Architecture of InnoChain, a Formally-Veried Distributed Ledger System.- A New Approach to Modelling and Verification of Functional Programs.- Measuring Random Pulses with Unknown Time- Frequency and Power Parameters.- Efficiency of Detection of Ultra-Wideband Signals against Additive and Pulse Random Distortions.- Development of a risk assessment tool for manufacturing processes.- Determining the future profitability of the main types of cryptocurrencies.- THE PECULIARITIES OF COMPUTER TECHNOLOGIES APPLICATION IN INFORMATICS TRAINING IN CONDITIONS OF THE ECONOMY AND EDUCATION DIGITALIZATION.- LSTM forecasting: time series forecasting to predict the concentration of air pollutants (CO, SO2, NO and NO2) in Krasnoyarsk, Russia.- Local weather station for decision making in civil engineering.- Algorithmic approach to the design of e-learning courses.- New failures occurrence software testing based on predicting the time organization.

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Book SynopsisThis book provides practical knowledge on different aspects of information and knowledge management in businesses. In contemporary unstable time, enterprises/businesses deal with various challenges—such as large-scale competitions, high levels of uncertainty and risk, rush technological advancements, while increasing customer requirements. Thus, businesses work continually on improving efficiency of their operations and resources towards enabling sustainable solutions based on the knowledge and information accumulated previously. Consequently, this third volume of our subline persists to highlight different approaches of handling enterprise knowledge/information management directing to the importance of unceasing progress of structural management for the steady growth. We look forward that the works of this volume can encourage and initiate further research on this topic.Table of ContentsCreating a system based on CRM solutions that will manage the supplier base.- Voucher 4.0 - Digitisation potential in voucher sales from the works council's point of view.- Use of E-service Analytics in Slovakia.- Managing Quality of Human-Based Electronic Services.- Sustainability Drives of the Sharing Economy.- Sentiment analysis for diagnostic purposes.- SZZ Unleashed-RA-C: An improved implementation of the SZZ algorithm and empirical comparison with existing open source solutions.- Which static code metrics can help to predict test case effectiveness? New metrics and their empirical evaluation on projects assessed for industrial relevance.- Intelligent Freight Forwarder with tabu search Algorithm.- Comparison the genetic algorithm and selected heuristics for the vehicle routing problem with capacity limitation.

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Book SynopsisThis book provides empirical evidence and statistical analyses to uncover answers to some of the most debated questions in the NBA. The sports world lives and breathes off of debates on who deserves an MVP award, and which athletes should be considered all-stars. This book provides some statistics-backed perspectives to some of these debates that are specific to the NBA. Was LeBron snubbed of an MVP in the 2010-2011 season? Why has the G.O.A.T. debate turned into LeBron vs. Jordan….Did Kobe get overlooked? How come Klay Thompson didn’t get All-NBA honors in the 2018-2019 season? This book explores these questions and many more with empirical evidence. This book is invaluable for any undergraduate or masters level course in sport analytics, sports marketing, or sports management. It will also be incredibly useful for scouts, recruiters, and general managers in the NBA who would like to use analytics in their work.Table of ContentsIntroduction.- 1. Da Real MVP.- 2. A Tribe of Goats.- 3. The Myth of the Superteam.- 4. Hey Now, You're an All-Star...But Are You All-NBA?- 5. Small Ball in a Big Man's Game.- 6.Is the Clutch Gene Real.- 7. Offense Wins Games, But Does Defense Win Championships? - 8. Strategic Implications of the Findings in This Book.- 9. Debates the Future Work Should Consider.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2021 which was held as part of the 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021, in June 2021. The conference was held virtually due to the COVID-19 pandemic.The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Intelligent Information Systems”.The 18 full papers presented in this volume were carefully reviewed and selected for inclusion in this book.Table of ContentsVisionary papers.- Evolution of an Adaptive Information System for Precision Medicine.- Security Risk Estimation and Management in Autonomous Driving Vehicles.- BPMN Extensions for Modeling Continuous Processes.- Sensor Data Stream Selection and Aggregation for the Ex Post Discovery of Impact Factors on Process Outcomes.- Requirements Elicitation for Applications Running on a Blockchain: Preliminary Results.- ISGE: A conceptual Model-based Method to correctly manage genome data.- Case Level Counterfactual Explanation in Process Mining.- Evaluating Fidelity of Explainable Methods for Predictive Process Analytics.- Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approach.- Detecting Privacy, Data and Controlflow Deviations in Business Processes.- Dynamic Strategic Modeling for Alliance-Driven Data Platforms: The Case of Smart Farming.- Modelling Cyber-physical Security in Healthcare Systems.- Declarative Process Discovery: Linking Process and Textual Views.- A Tool for Computing Probabilistic Trace Alignments.- Innovative tools and prototypes.- Applied Predictive Process Monitoring and Hyper Parameter Optimization in Camunds.- SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs.- PatternLens: Inferring evolutive patterns from web API usage logs.- Designing a Self-Service Analytics System for Supply Base Optimization.

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Book SynopsisThis textbook offers a tutorial introduction to robotics and control which is light and easy to absorb. The practice of robotics and control both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and control a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly: How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provides a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and control separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and control. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, and covers both mobile robots (control, path planning, navigation, localization and SLAM) and arm robots (forward and inverse kinematics, Jacobians, dynamics and joint level control). “An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!” Oussama Khatib, StanfordTrade Review“Written in a light but quite informative style, the book is intended for students and scientists and should be of interest to practicing and research engineers as well as Ph.D. students in the field of modeling and control of spatial mechanisms, manipulators and robots.” (Clementina Mladenova, zbMATH 1492.93004, 2022)Table of ContentsIntroduction.- Representing Position and Orientation.- Time and Motion.- Mobile Robots.- Navigation.- Localization.- Robot Arm Kinematics,- Manipulator Velocity.- Dynamics and Control.- Appendices.

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Book SynopsisThis book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. 1. Highlights recent applications and techniques in cyber intelligence2. Includes the proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021) 3. Presents a broad range of scientific research on cyber intelligence

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Book SynopsisThis book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

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Book SynopsisThis book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics. Table of ContentsPrediction of Liver Cancer by Artificial Neural Network.- Remarks on the limit-circle classification of Conformable Fractional Sturm-Liouville Operator.- Improving Search Relevance with Word Embedding Based Clusters.- Improving Search Relevance with Word Embedding Based Clusters.- Diagnosis of Parkinson's Disease with Acoustic Sounds by Rule Based Model.- Development of Face Recognition System by Using Deep Learning and FaceNet Algorithm in the Operations Processes.- Mobile Assisted Travel Planning Software: The Case of Burdur.- Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-based Optimization.- The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease.

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Book SynopsisThis edited book presents scientific results of the 20th IEEE/ACIS International Summer Semi-Virtual Conference on Computer and Information Science (ICIS 2021) held on June 23–25, 2021 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 13 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science. Table of ContentsThe Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach.- A Framework and Decision Algorithm to Determine the Best Feature Extraction Technique for Supporting Machine Learning-Based Hate Speech Detection.- Sentiment Analysis of Stock Market Investors and Its Correlation with Stock Price Using Maximum Entropy.- Intrusion Detection for Modern DDos Attacks Classification Based on Convolutional Neural Networks.- A Study on the Recognition of Hangeul through Transitional Learning in Handwritten Application.- Study on Partial Image Detection for Drawing- Focus on Unstructured Images Included in the Main Image.- Factors affecting the Intention to Use Artificial Intelligence-based Recruitment System: A Structural Equation Modeling (SEM) approach.- A Comparative Study of Vectorization Approaches for Detecting Inconsistent Method Names.- Heart Sound Segmentation Based On A Joint HSMM Method.- A Novel Authenticity of Artwork System based on Blockchain.- Image Steganography using GANs.- Coverage-Guided Fairness Testing.

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Book SynopsisThis book includes proceedings of the 15th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2021), which took place in Asan, Korea, on July 1-3, 2021. With the proliferation of wireless technologies and electronic devices, there is a fast-growing interest in Ubiquitous and Pervasive Computing (UPC). The UPC enables to create a human-oriented computing environment where computer chips are embedded in everyday objects and interact with physical world. Through UPC, people can get online even while moving around, thus, having almost permanent access to their preferred services. With a great potential to revolutionize our lives, UPC also poses new research challenges.The aim of the book is to provide the latest research findings, methods, development techniques, challenges, and solutions from both theoretical and practical perspectives related to UPC with an emphasis on innovative, mobile, and Internet services.

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Book SynopsisThis book addresses the importance of human factors in optimizing the learning and training process. It reports on the latest research and best practices relating to the application of behavioral and cognitive science, and new technologies in the design of instructional and training content. It proposes innovative strategies for improving the learning and training experience and outcomes in different contexts, including lower and higher education, and different industry sectors. A special emphasis is given to digital and distance learning, gamification, and virtual training. Gathering contributions to the AHFE 2021 Conference on Human Factors in Training, Education, and Learning Sciences, held virtually on July 25-29, 2021, from USA, this book offers extensive information and a thought-provoking guide for both researchers and practitioners in the field of education and training.Table of ContentsStructure of a socio-technical learning and innovation factory.- Teaching robotics with virtual reality: Developing curriculum for the 21st century workforce.- I feel the need for speed - empirical evidence of the effectiveness of VR training technology on knowledge and skill acquisition.- Digital creative abilities for achieving digital maturity.- AI and learning in the context of digital transformation.- Impacts on cognitive decay and memory recall during long duration spaceflight.- Spiritual accompaniment training in pediatric palliative care - A case study from Spain.- Evolution of an approach for digital learning and training in nursing.

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Book SynopsisThis book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment—sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice. Table of ContentsThe Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training.- Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classification.- A Metaheuristic based virtual machine allocation technique using Whale Optimization Algorithm in cloud.- Data Sampling-based Feature Selection Framework for Software Defect Prediction.- Application of K-Nearest Neighbor Algorithm for Prediction of Television Advertisement Rating.- An Evaluation of the Frameworks for Predicting of COVID-19 in Nigeria using Time Series Data Analytics Model.- Multi-objective Wrapper-based Feature Selection Using Binary Cuckoo Optimisation Algorithm: A Comparison Between NSGAII and NSGAIII.- A Logistic Predictive Model for Determining the Prevalent Mode of Financial Cybercrime in Sub-Saharan Africa.- Mathematical Verification of Hybrid Model for Prime Decision-Making in Driving.- An Efficient Multi-Sensor Positions Human Activity Recognition: Elderly Peoples in Rural Areas in Focus.

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Book SynopsisThis book comprises high-quality refereed research papers presented at the Fourth International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2021), held in Kyiv, Ukraine, on January 23–24, 2021, organized jointly by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science, artificial intelligence, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications in education. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.Table of ContentsAutomatic Beam Aiming of the Laser Optical Reference System at the Center of Reflector to Improve the Accuracy and Reliability of Dynamic Positioning.- Decision Support System in Sprinkler Irrigation based on a Fractional Moisture Transport Model.- Automated Pipeline for Training Dataset Creation from Unlabeled Audios for Automatic Speech Recognition.- Estimation of Hurst index and Traffic Simulation.- Diagnosis of Rail Circuits by means of Fiber-optic Cable.- Complex Model for Personal Data Management of Online Project Users.- Nonparametric Change Point Detection Algorithms in the Monitoring Data.

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Book SynopsisThis book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22–24 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering.Table of ContentsDeep Learning for Grasp-and-Lift Movement Forecasting based on Electroencephalography by Brain-computer Interface.- Inland Waterborne Commerce Study based on Variance Decomposition and Cross-spectral Analysis.- RBF-based Input Doubling Method for Small Medical Data Processing.- Vehicles and Cargos Two-sided Matching based on Similarity Calculation.- Warehousing Process Mining Research based on Petri Net.- Mathematical Methods of Algebraic Biology.

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Book SynopsisThis book comprises high-quality refereed research papers presented at The Second International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2020), held in Moscow, Russia, on December 18–20, 2020, organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and methodological approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and management.Table of ContentsOn Mixed Forced and Self-oscillations with Delays in Elasticity and Friction.- An Extensible Network Traffic Classifier Based on Machine Learning Methods.- Intelligent Information Systems Based on Notional Models without Relationships.- Study of Properties of Growing Random Graphs with Neuron-like Structure.- Planning of Computational Experiments in Verification of Mathematical Models of Dynamic Machine Systems.- Optimization of Network Transmission of Multimedia Data Stream in a Cloud System.

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Book SynopsisThis book contains proceedings of the International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry INTERAGROMASH 2021. It is a collection of original and fundamental research papers in areas such as agricultural machinery, agricultural materials science, construction of agricultural facilities, training of specialists in the field of agriculture, and other topics. Each of the presented chapters has undeniable scientific value and novelty in the corresponding research areas. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here can be used in the educational process at specific agricultural universities or during vocational training at enterprises and will become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.Table of ContentsHigh-Speed HFC-boriding Kinetics.- Optimal Heat Flux Reduction Inside Film Cooled Wall.- Numerical Simulation of the Operation of a Chemical Reactor with an Open Cell Foam Catalyst.- The Cost of Flexible Elements of a Rectangular Profile.- Biodiesel Production from Various Crops.- Molecular Relaxation in a Liquid Crystal after Switching off the Acoustic Action.- Microstructure and Composition of Boriding Coating Based on Boron Carbide and Amorphous Boron.- The Stress State of Corner Cutout Area of the Model Boundary by Photoelastic Method.- Influence of the Particle Number on Mixture Quality.- Increasing the Efficiency of Calculation of Magnetic Fields of Magnetostriction Level Gauges.- Specific Features of Surface Morphology During Plasma Electrolytic Processing.- LU-factorization of the System of Magnetic Field Equations of Magnetostrictive Level Transducers.

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Book SynopsisThis book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. Table of ContentsApplication of the Optimal Lntegrated Medical Intelligence System to Strengthen Physical Lmmunity.- Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms.- Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm.- An Improved Lion Swarm Algorithm Based on Reinforcement Learning.- Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology.- Discovering the Coopetition Relationship Between Agents Using Clustering.- An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method.- Damping Effect of A Controlled Nonlinear Meso-scale Beam under Periodic Excitation.- Weighted Histogram Block Detection Algorithm for Digital Trunking Terminal.- A GPU-based Energy Saving Algorithm for Smart Buildings.- Dynamic Event-Triggered Control of Networked Control Systems under Sensor and Actuator Faults.

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Book SynopsisThis book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques. This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI—in short, to anyone who is interested in problems involving fuzziness and AI in general.

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Book SynopsisThis book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope.We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. Table of ContentsLexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity.- The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.- Towards an Automated Language Acquisition System for Grounded Agency.- Automatic Monitoring and Analysis of Brands using Data Extracted from Twitter in Romanian.- Natural Language Processing in the Support of Business Organization Management.- Discovering Influence of Yelp Reviews using Hawkes Point Processes.- Automated Corpus Annotation for Cybersecurity Named Entity Recognition with Small Keyword Dictionary.- Benchmarking Virtual Reinforcement Learning Algorithms to Balance a Real Inverted Pendulum.- Local-Minimum-Free Artificial Potential Field Method for Obstacle Avoidance.- Experimental Design of Artificial Neural-network Solutions for Traffic Sign Recognition.- Spatial Modelling and Microstructural Modulation of Porous Pavement Materials for Seepage Control in Smart Cities.- ViewClassifier: Visual Analytics on Performance Analysis for Imbalanced Fatal Accident Data.

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Book SynopsisThis book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings.As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope.We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. Table of ContentsZero-Touch Customer Order Fulfillment to Support the New Normal of Retail in the 21st Century.- VitrAI: Applying Explainable AI in the Real World.- Contactless Interface for Navigation in Medical Imaging Systems.- Mobile Apps for 3D Face Scanning.- Tabu Search for Locating-Routing in the Goods Delivery and Waste Pickup in Trujillo-Peru.- The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings.- Particle Swarm Model for Predicting Student Performance in Computing Programs.- A Genetic Algorithm for Quantum Circuit Generation in OpenQASM.- An Improved Clustering-based Harmony Search Algorithm (IC-HS).- Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.- Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem.- Learning Incorrect Verdict Patterns of the Established Face Recognizing CNN Models using Meta-Learning Supervisor ANN.- SmartData: An Intelligent Decision Support System to Predict the Readers Permanence in News.- High Capacity Data Hiding for AMBTC Decompressed Images using Pixel Modification and Difference Expansion.- Fraud Detection in Online Market Research.

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Book SynopsisThis book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.

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Book SynopsisThis book presents the general objective of the REV2021 conference which is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparably connected, for example, with Internet of Things, Industry 4.0 & Industrial Internet of Things, Cloud Technologies, Data Science, Cross & Mixed Reality, Remote Working Environments, Online & Biomedical Engineering, to name only a few.Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources.REV2021 on "Online Engineering and Society 4.0" was the 17th in a series of annual events concerning the area of Remote Engineering and Virtual Instrumentation. It has been organized in cooperation with the International Engineering and Technology Institute (IETI) as an online event from February 24 to 26, 2021.Table of ContentsOn the Development of a Unified Remote Laboratory Framework.- GOLDi 2.0: Beyond Raw Digital Signals – Electrical Interface Emulation.- A Reliable Real-time Web Interface for an Online Laboratory.- Remote Labs For Communications.- Automated Testing for Sustainable Remote Laboratory System.- Interactive Lab Experimentation And Simulation Tools For Remote Laboratories.- Aligning Technic with Didactic – A Remote Laboratory Infrastructure for Study, Teaching and Research.- Simulation on Motion of A Trebuchet.- Human-Centered Design in Online Laboratories for Graduate Engineering Students.

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Book SynopsisThis book contains contributions from the IX International Scientific Conference “Digital Transformation of the Economy: Challenges, Trends and New Opportunities,” which was organized by Samara State University of Economics (SSEU, Samara, Russia), 2021, and devoted to the 90th anniversary of this higher education institution.Digital technologies became even more in demand during the pandemic, when companies, state authorities, and educational organizations were forced to switch to a remote format of work. The “forced” digitization of the usual ways of activity required rapid and decisive changes. Understanding the ongoing digital transformation implies the relevance of further in-depth research of this issue in the context of various socioeconomic systems, interdisciplinary interactions, and cooperation between scientists and practitioners. The book is an attempt to analyze these changes and consider them from the point of view of various scientific areas (economics, management, education, law, sociology, and others). This book addresses theoretical and practical aspects by studying the digital technology application in terms of the new socioeconomic reality development: big data in the digital economy, data collection and exchange, artificial intelligence, intelligent communications, digital platforms and strategies for the sustainable development of socioeconomic systems, and new requirements of professional and business education. It provides significant value for scientists, teachers, and students of higher educational institutions.Table of ContentsBig Data Application in the Digital Economy: Legal, Technical and Economic Aspects.- Issues on “Big Data” and Personal Data Correlation and Differentiation.- The Use of Big Data in Digital Economy and Related Legal Aspects.- Information in the Digital Economy as a Subject of Criminal Law Protection.- Regulatory “Sandboxes” on Russian Market: Theoretical and Legal Aspect of Specialized Regulation.- Current Issues of Training Economic Security Personnel for the Digital Economy.- Big Data in the Digital Economy: Prospects for Application and Legal Regulation.- Information Security as a Condition for Sustainable Development in the Global World.- Stream of Commerce Involving Big Data: Legal Aspects.- Digital Innovation in the Light of the Experimental Legal Regime.- Big Data Applications in the Pharmaceutical Industry.- Personal Data Protection as a Basis of Digitalization.- Legality of Sanctional Mechanisms Use in the Internet.- «Big Data» in Labor Relations.- Big Data Application in Information Support of Organization Management: Problems and Prospects.

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Book SynopsisThis book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongly recommend it to my students. --Dr. Carlotta Domeniconi, Associate Professor, Computer Science Department, GMUThis book offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide compelling examples that a core teaching practice like leading interpretive discussions can be taught and learned by teachers and sustained effort. And what better way to strengthen the quality of AI and Machine learning outcomes. I hope that this book will become a primer for teachers, data Science educators, and ML developers, and together we practice the art of interpretive machine learning.--Anusha Dandapani, Chief Data and Analytics Officer, UNICC and Adjunct Faculty, NYUThis is a wonderful book! I’m pleased that the next generation of scientists will finally be able to learn this important topic. This is the first book I’ve seen that has up-to-date and well-rounded coverage. Thank you to the authors!--Dr. Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, and Biostatistics & Bioinformatics Literature on Explainable AI has up until now been relatively scarce and featured mainly mainstream algorithms like SHAP and LIME. This book has closed this gap by providing an extremely broad review of various algorithms proposed in the scientific circles over the previous 5-10 years. This book is a great guide to anyone who is new to the field of XAI or is already familiar with the field and is willing to expand their knowledge. A comprehensive review of the state-of-the-art Explainable AI methods starting from visualization, interpretable methods, local and global explanations, time series methods, and finishing with deep learning provides an unparalleled source of information currently unavailable anywhere else. Additionally, notebooks with vivid examples are a great supplement that makes the book even more attractive for practitioners of any level.Overall, the authors provide readers with an enormous breadth of coverage without losing sight of practical aspects, which makes this book truly unique and a great addition to the library of any data scientist.Dr. Andrey Sharapov, Product Data Scientist, Explainable AI Expert and Speaker, Founder of Explainable AI-XAI GroupTrade ReviewThis book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom setting. I will certainly keep this book as a personal resource for the courses I teach, and strongly recommend it to my students. --Dr. Carlotta Domeniconi, Associate Professor, Computer Science Department, GMUThis book offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide compelling examples that a core teaching practice like leading interpretive discussions can be taught and learned by teachers and sustained effort. And what better way to strengthen the quality of AI and Machine learning outcomes. I hope that this book will become a primer for teachers, data Science educators, and ML developers, and together we practice the art of interpretive machine learning.--Anusha Dandapani, Chief Data and Analytics Officer, UNICC and Adjunct Faculty, NYULiterature on Explainable AI has up until now been relatively scarce and featured mainly mainstream algorithms like SHAP and LIME. This book has closed this gap by providing an extremely broad review of various algorithms proposed in the scientific circles over the previous 5-10 years. This book is a great guide to anyone who is new to the field of XAI or is already familiar with the field and is willing to expand their knowledge. A comprehensive review of the state-of-the-art Explainable AI methods starting from visualization, interpretable methods, local and global explanations, time series methods, and finishing with deep learning provides an unparalleled source of information currently unavailable anywhere else. Additionally, notebooks with vivid examples are a great supplement that makes the book even more attractive for practitioners of any level.Overall, the authors provide readers with an enormous breadth of coverage without losing sight of practical aspects, which makes this book truly unique and a great addition to the library of any data scientist.Dr. Andrey Sharapov, Product Data Scientist, Explainable AI Expert and Speaker, Founder of Explainable AI-XAI GroupThis is a wonderful book! I’m pleased that the next generation of scientists will finally be able to learn this important topic. This is the first book I’ve seen that has up-to-date and well-rounded coverage. Thank you to the authors!”--Dr. Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, and Biostatistics & BioinformaticsTable of Contents1. Introduction to Interpretability and Explainability.- 2. Pre-Model Interpretability and Explainability.- 3. Model Visualization Techniques and Traditional Interpretable Algorithms.- 4. Model Interpretability: Advances in Interpretable Machine Learning.- 5. Post-hoc Interpretability and Explanations.- 6. Explainable Deep Learning.- 7. Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision.- 8. XAI: Challenges and Future.

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Book SynopsisThis book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit’s Research Track, reporting on latest advances on topics ranging from software security to cyber-attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on. Understanding the latest capabilities in cyber security ensures users and organizations are best prepared for potential negative events. This book is of interest to cyber security researchers, educators and practitioners, as well as students seeking to learn about cyber security.Table of ContentsPart I – Cyber Security EducationAn Integrated System for Connecting Cybersecurity Competency, Student Activities and Career Building Li-Chiou Chen, Andreea Cotoranu, Praviin Mandhare and Darren Hayes Simulating Industrial Control Systems using Node-RED and Unreal Engine 4 Steven Day, William Smallwood and Joshua Kuhn Student Educational Learning Experience Through Cooperative Research Melissa Hannis, Idongesit Mkpong-Ruffin and Drew Hamilton Digital Forensics Education: Challenges and Future Opportunities Megan Stigall and Kim-Kwang Raymond Choo Designing a Cybersecurity Curriculum Library: Best Practices from Digital Library Research Blair Taylor, Sidd Kaza and Melissa Dark Design of a Virtual Cybersecurity Escape Room Tania Williams and Omar El-Gayar Part II – Cyber Security Technology A Novel Method for the Automated Generation for JOP Chain Exploits Bramwell Brizendine, Austin Babcock and Josh Stroschien Increasing Log Availability in Unmanned Vehicle Systems Nicholas Carter, Peter Pommer, Duane Davis and Cynthia Irvine Testing Detection of K-Ary Code Obfuscated by Metamorphic and Polymorphic Techniques George Harter and Neil Rowe Enhancing Secure Coding Assistant System with Design by Contract and Programming Logic Wenhui Liang, Cui Zhang and Jun Dai Social Engineering Attacks in Healthcare Systems: A Survey Christopher Nguyen, Walt Williams, Brandon Didlake, Donte Mitchell, James McGinnis and Dipankar Dasgupta Identifying Anomalous Industrial-Control-System Network Flow Activity Using Cloud Honeypots Neil Rowe, Thuy Nguyen, Jeffrey Dougherty, Matthew Bieker and Darry Pilkington Risks of Electric Vehicle Supply Equipment Integration within Building Energy Management System Environments: A Look at Remote Attack Surface and Implications Roland Varriale, Michael Jaynes and Ryan Crawford

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Book SynopsisThis book provides latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems. With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.Table of Contents1. Performance Comparison of CM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients Admir Barolli, Shinji Sakamoto, Leonard Barolli and Makoto Takizawa 2. Effects of Augmented Reality Markers for Networked Robot Navigation Masato Ogata, Masato Inoue, Kiyotaka Izumi and Takeshi Tsujimura 3. Algorithm Based on Local Search Method for Examination Proctors Assignment Problem Considering Various Constraints Takahiro Nishikawa and Hiroyoshi Miwa 4. Bio-inspired VM Introspection for Securing Collaboration Platforms Huseyn Huseynov, Tarek Saadawi and Kenichi Kourai 5. Artificial intelligence-based Early Prediction Techniques in Agri-tech Domain Alessandra Amato, Flora Amato, Leopoldo Angrisani, Leonard Barolli, France- sco Bonavolontà, Gianluca Neglia and Oscar Tamburis 6. Automatic Measurement of Acquisition for COVID-19 related Information Alessandra Amato, Flora Amato, Leonard Barolli and Francesco Bonavolontà 7. Algorithms for Mastering Board Game Nanahoshi Considering Deep Neural Networks Masato Saito and Hiroyoshi Miwa 8. Revealing COVID-19 data by data mining and visualization Carson K. Leung, Tyson N. Kaufmann, Yan Wen, Chenru Zhao, Hao Zheng 9. An approach to enhance academic ranking prediction with augmented social perception data Kittayaporn Chantaranimi, Prompong Sugunsil and Juggapong Natwichai 10. A Fuzzy-based System for User Service Level Agreement in 5G Wireless Networks Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli 11. Cognitive Approach for Creation of Visual Security Codes Urszula Ogiela and Marek R. Ogiela 12. Transformative Computing Based on Advanced Human Cognitive Processes Urszula Ogiela, Makoto Takizawa and Lidia Ogiela 13. Topology as a Factor in Overlay Networks Designed to Support Dynamic Systems Modeling Abbe Mowshowitz, Akira Kawaguchi and Masato Tsuru 14. A Genetic Algorithm for Parallel Unmanned Aerial Vehicle Scheduling: A Cost Minimization Approach Aprinaldi Jasa Mantau, Irawan Widi Widayat and Mario K ̈oppen 15. A Movement Adjustment Method for DQN-based Autonomous Aerial Vehicle Nobuki Saito, Tetsuya Oda, Aoto Hirata, Kyohei Toyoshima, Masaharu Hirota, Leonard Barolli 16. A self-learning clustering protocol in Wireless Sensor Networks for IoT Applications Nhat Tien Nguyen, Thien T.T. Le, Miroslav Voznak, Jaroslav Zdralek 17. The Effect of Agents’ Diversities on the Running Time of the Random Walk-Based Rendezvous Search Fumiya Toyoda and Yusuke Sakumoto 18. A Study on Designing Autonomous Decentralized Method of User-Aware Resource Assignment in Large-Scale and Wide-Area Networks Toshitaka Kashimoto, Fumiya Toyoda and Yusuke Sakumoto 19. Social Media Data Misuse Tariq Soussan and Marcello Trovati 20. Deep Learning Approaches to Detect Real Time Events Recognition in Smart Manufacturing systems – A Short Survey Suleman Awan and Marcello Trovati 21. A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients Peng Xu, Admir Barolli, Phudit Ampririt, Shinji Sakamoto, Leonard Barolli 22. Consideration of Presentation Timing in Bicycle Navigation Using Smart Glasses Takahiro Uchiya and Ryo Futamura 23. Graph Convolution Network for Urban Mobile Traffic Prediction Changliang Yu, Zhiyang Ye and Nan Zhao 24. Deep Reinforcement Learning for Task Allocation in UAV-enabled Mobile Edge Computing Changliang Yu, Wei Du, Fan Ren and Nan Zhao 25. Medical Image Analysis with NVIDIA Jetson GPU Modules Pavel Kro ̈mer and Jana Nowakova ́ 26. Analysis of Optical Mapping Data with Neural Network V ́ıt Dolezˇ ́ı and Petr Gajdosˇ 27. Evolutionary Multi-level Thresholding for Breast Thermogram Segmentation Arti Tiwari, Kamanasish Bhattacharjee, Millie Pant, Jana Nowakova and Vaclav Snasel 28. Identification of the Occurrence of Poor Blood Circulation in Toes by Processing Thermal Images from Flir Lepton Module Martin Radvansky, Martin Radvansky, Jr. and Milos Kudelka 29. License Trading System for Video Contents Using Smart Contract on Blockchain Kosuke Mori, Kota Nakazawa and Hiroyoshi Miwa 30. Query Processing in Highly Distributed Environments Akira Kawaguchi, Nguyen Viet Ha, Masato Tsuru, Abbe Mowshowitz and Masahiro Shibata 31. Loose matching approach considering the time constraint for spatio-temporal content discovery Shota Akiyoshi, Yuzo Taenaka, Kazuya Tsukamoto and Myung Lee 32. Optimized Memory Encryption for VMs across Multiple Hosts Shuhei Horio, Kouta Takahashi, Kenichi Kourai, and Lukman Ab. Rahim 33. Blockchain Simulation Environment on Multi-Image Encryption for Smart Farming Application Irawan Widi Widayat and Mario Köppen

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Book SynopsisThis book provides the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and their applications. The networks and information systems of today are evolving rapidly. There are new trends and applications in information networking such as wireless sensor networks, ad hoc networks, peer-to-peer systems, vehicular networks, opportunistic networks, grid and cloud computing, pervasive and ubiquitous computing, multimedia systems, security, multi-agent systems, high-speed networks, and web-based systems. These kinds of networks need to manage the increasing number of users, provide support for different services, guarantee the QoS, and optimize the network resources. For these networks, there are many research issues and challenges that should be considered and find solutions. Table of Contents1. A Monotonically Increasing (MI) Algorithm to Estimate Energy Consumption and Execution Time of Processes on a ServerDilawaer Duolikun , Tomoya Enokido , Leonrad Barolli , and Makoto Takizawa 2. Performance Comparison of CM and LDIWM Router Replacement Methods for WMNs by WMN-PSOHC Simulation System Considering Chi-square Distribution of Mesh Clients Shinji Sakamoto, Yi Liu, Leonard Barolli and Shusuke Okamoto 3. A Capability Token Selection Algorithm for Lightweight Information Flow Control in the IoT Shigenari Nakamura, Tomoya Enokido, and Makoto Takizawa 4. Join Processing in Varying Periodic and Aperiodic Spatial Data Streams Wendy Osborn 5. The Improved Redundant Active Time-Based Algorithm with Forcing Termination of Meaningless Replicas in Virtual Machine Environments Tomoya Enokido, Dilawaer Duolikun, and Makoto Takizawa 6. Optical Simulations on Aerial Transmitting Laser Beam for Free Space Optics Communication Shun Jono, Takuto Koyama, Kota Watanabe, Kiyotaka Izumi, Takeshi Tsujimura 7. Employee Management Support Application for Regional Public Transportation Service in Japan Chinasa Sueyoshi, Hideya Takagi, Toshihiro Uchibayashi, and Kentaro Inenaga 8. Message Ferry Routing based on Nomadic Lévy Walk in Delay Tolerant Networks Koichiro Sugihara and Naohiro Hayashibara 9. A Trust-Based Tool for Detecting Potentially Damaging Users in Social Networks Kaley J. Rittichier, Davinder Kaur, Suleyman Uslu, and Arjan Durresi 10. Secure Cloud Storage Using Color Code in DNA Computing Saravanan Manikandan, Islam MD Saikhul, Hsing-Chung Chen, Yu-Lin Song 11. A Hybrid Intelligent Simulation System for Node Placement in WMNs: A Comparison Study of Chi-square and Uniform Distributions of Mesh Clients for CM and LDVM Router Replacement Methods Admir Barolli, Kevin Bylykbashi, Ermioni Qafzezi, Shinji Sakamoto, Leonard Barolli 12. Outage Probability of CR-NOMA Schemes with Multiple Antennas Selection and Power Transfer Approach Hong-Nhu Nguyen, Ngoc-Long Nguyen, Nhat-Tien Nguyen, Ngoc-Lan Nguyen, and Miroslav Voznak 13. An efficient framework for resource allocation and dynamic pricing scheme for completion time failure in cloud computing Anjan Bandyopadhyay, Vikash Kumar Singh, Sajal Mukhopadhyay, Ujjwal Rai, and Arghya Bandyopadhyay 14. Inferring Anomalies from Cloud Metrics using Recurrent Neural Networks Spyridon Chouliaras and Stelios Sotiriadis 15. Method of Lyric Association based on Mind Mapping in Collaborative Lyric Writing of Popular Music Meguru Yamashita, Kiwamu Satoh 16. Collaborative Virtual Environments for Jaw Surgery Simulation Krit Khwanngern, Juggapong Natwichai, Vivatchai Kaveeta, Phornphanit Meenert, Sawita Sriyong 17. Deterrence-Based Trust: A Study on Improving the Credibility of Social Media Messages in Disaster Using Registered Volunteers Takumi Kitagawa, Tetsushi Ohki, Yuki Koizumi, Yoshinobu Kawabe, Toru Hasegawa, Masakatsu Nishigaki 18. A Perceptron Mixture Model of Intrusion Detection for Safeguarding Electronic Health Record System Wei Lu and Ling Xue 19. Personalized Cryptographic Protocols – Obfuscation Technique Based on the Qualities of the Individual Radosław Bułat, Marek R. Ogiela 20. Personalized Cryptographic Protocols for Advanced Data Protection Urszula Ogiela, Makoto Takizawa, Lidia Ogiela 21. Antilock Braking System (ABS) Based Control Type Regulator Implemented by Neural Network in Various Road Conditions Hsing-Chung Chen, Andika Wisnujati, Agung Mulyo Widodo, Yu-Lin Song, and Chi-Wen Lung 22. Physical Memory Management with Two Page Sizes in Tender OS Koki Kusunoki, Toshihiro Yamauchi and Hideo Taniguchi 23. Sensor-Based Motion Analysis of Paralympic Boccia Athletes Ayumi Ohnishi, Tsutomu Terada, and Masahiko Tsukamoto 24. A Design and Development of a Near Video-on-Demand Systems Tomoki Yoshihisa 25. A Consideration of Delivering Method for Super-Resolution Video Yusuke Gotoh and Takayuki Oishi 26. Proposal of a Tele-Immersion Visiting System Reiya Yahada, Tomoyuki Ishida 27. A Study on the Impact of High Refresh-Rate Displays on Scores of eSports Koshiro Murakami, Hideo Miyachi 28. Assessing the Sense of Presence to Evaluate the Effectiveness of Virtual Reality Wildfire Training Huang Heyao, Ogi Tetsuro 29. 3D measurement and feature extraction for metal nuts Zhiyi Gao, Tohru Kato, Hiroki Takahashi, Akio Doi 30. A Machine Learning Approach for Predicting 2D Aircraft Position Coordinates Kazuma Matsuo, Makoto Ikeda, Leonard Barolli 31. Evaluation of Rainfall Characteristics Between 1-Hour Precipitation and 10-Minute Precipitation Observed by AMeDAS Kiyotaka Fujisaki 32. Numerical Analysis of Photonic Crystal Waveguide with Stub by CIP Method Hiroshi Maeda 33. A CCM-based HC System for Mesh Router Placement Optimization: A Comparison Study for Different Instances Considering Normal and Uniform Distributions of Mesh Clients Aoto Hirata, Tetsuya Oda, Nobuki Saito, Yuki Nagai, Kyohei Toyoshima, Leonard Barolli 34. EPOQAS: Development of an Event Program Organizer with a Question Answering System Jun Iio 35. Estimating User’s Movement Path using Wi-Fi Authentication Log Jun Yamano, Yasuhiro Ohtaki and Kazuyuki Yamamoto 36. Integrating PPN into Autoencoders for Better Information Aggregation Performance Yudai Okui, Tatsuhiro Yonekura and Masaru Kamada 37. An AR System to Practice Drums Kaito Kikuchi, Michitoshi Niibori and Masaru Kamada 38. A Proposal of Learning Feedback System for Children to Promote Self-directed Learning Yoshihiro Kawano, Yuka Kawano 39. A SPA of Online Lecture Contents with Voice Masaki Kohana, Shusuke Okamoto, Masaru Kamada 40. A Dynamic and Distributed Simulation Method for Web-based Games Ryoya Fukutani, Shusuke Okamoto, Shinji Sakamoto and Masaki Kohana

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Book SynopsisThis book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.Table of ContentsDynamics, Adaptation and Control for Mental Models: A Cognitive Architecture.- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models.- On Becoming a Good Driver: Modeling the Learning of a Mental Model.- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models.- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.

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