Artificial intelligence (AI) Books
Springer Nature Switzerland AG Robotics and Control: Fundamental Algorithms in
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.
£42.74
Springer Nature Switzerland AG 2021 International Conference on Applications and
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
£161.99
Springer Nature Switzerland AG 2021 International Conference on Applications and
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.
£161.99
Springer Nature Switzerland AG Trends in Data Engineering Methods for
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.
£197.99
Springer Nature Switzerland AG Computer and Information Science 2021—Summer
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.
£116.99
Springer Nature Switzerland AG Innovative Mobile and Internet Services in
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.
£161.99
Springer Nature Switzerland AG Advances in Human Factors in Training, Education,
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.
£116.99
Springer Nature Switzerland AG International Conference on Emerging Applications
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.
£116.99
Springer Nature Switzerland AG Advances in Computer Science for Engineering and Education IV
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.
£116.99
Springer Nature Switzerland AG Advances in Artificial Systems for Logistics
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.
£116.99
Springer Nature Switzerland AG Advances in Intelligent Systems, Computer Science
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.
£80.99
Springer Nature Switzerland AG XIV International Scientific Conference
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.
£197.99
Springer Nature Switzerland AG Advances in Intelligent Automation and Soft
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.
£189.99
Springer Nature Switzerland AG Explainable AI and Other Applications of Fuzzy
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.
£189.99
Springer Nature Switzerland AG Intelligent Systems and Applications: Proceedings
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.
£224.99
Springer Nature Switzerland AG Intelligent Systems and Applications: Proceedings
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.
£161.99
Springer Nature Switzerland AG Nature-inspired Optimization of Type-2 Fuzzy
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.
£42.74
Springer Nature Switzerland AG A New Meta-heuristic Optimization Algorithm Based
Book SynopsisThis book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on String Theory from Physics is proposed. It is important to mention that we have proposed the new algorithm to generate new potential solutions in optimization problems in order to find new ways that could improve the results in solving these problems. We are presenting the results for the proposed method in different cases of study. The first case, is optimization of traditional benchmark mathematical functions. The second case, is the optimization of benchmark functions of the CEC 2015 Competition and we are also presenting results of the CEC 2017 Competition on Constrained Real-Parameter Optimization that are problems that contain the presence of constraints that alter the shape of the search space making them more difficult to solve. Finally, in the third case, we are presenting the optimization of a fuzzy inference system, specifically for finding the optimal design of a fuzzy controller for an autonomous mobile robot. It is important to mention that in all study cases we are presenting statistical tests in or-der to validate the performance of proposed method. In summary, we believe that this book will be of great interest to a wide audience, ranging from engineering and science graduate students, to researchers and professors in computational intelligence, metaheuristics, optimization, robotics and control.Table of ContentsIntroduction.- Literature Review.- String Theory Algorithm.- Simulation Results.- Conclusions
£42.74
Springer Nature Switzerland AG Online Engineering and Society 4.0: Proceedings
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.
£197.99
Springer Nature Switzerland AG Digital Technologies in the New Socio-Economic
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.
£208.99
Springer Nature Switzerland AG Explainable Artificial Intelligence: An
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.
£104.49
Springer Nature Switzerland AG National Cyber Summit (NCS) Research Track 2021
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
£80.99
Springer Nature Switzerland AG Advances in Intelligent Networking and
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
£161.99
Springer Nature Switzerland AG Advances in Networked-Based Information Systems:
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
£224.99
Springer Nature Switzerland AG Mental Models and Their Dynamics, Adaptation, and
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.
£132.99
Springer Nature Switzerland AG Distributed Computing and Artificial
Book SynopsisThis book offers the exchange of ideas between scientists and technicians from both the academic and industrial sector which is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The 18th International Symposium on Distributed Computing and Artificial Intelligence 2021 (DCAI 2021) is a forum to present the applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and special sessions, by authors from 24 different countries, representing a truly “wide area network” of research activity. The DCAI’21 technical program has selected 21 papers, and, as in past editions, it will be special issues in ranked journals such as Electronics, Sensors, Systems, Robotics, Mathematical Biosciences and ADCAIJ. These special issues cover extended versions of the most highly regarded works. Moreover, DCAI'21 special sessions have been a very useful tool to complement the regular program with new or emerging topics of particular interest to the participating community.
£116.99
Springer Nature Switzerland AG Creative Solutions for a Sustainable Development:
Book SynopsisThis book constitutes the refereed proceedings of the 21st International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2021, held virtually in September 2021 and sponsored by IFIP WG 5.4. The 28 full papers and 8 short papers presented were carefully reviewed and selected from 48 submissions. They are organized in the following thematic sections: inventiveness and TRIZ for sustainable development; TRIZ, intellectual property and smart technologies; TRIZ: expansion in breadth and depth; TRIZ, data processing and artificial intelligence; and TRIZ use and divulgation for engineering design and beyond. Chapter ‘Domain Analysis with TRIZ to Define an Effective “Design for Excellence’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsInventiveness and TRIZ for Sustainable Development.- An ideality-based map to describe sustainable design initiatives.- Sustainable digitalization: a systematic literature review to identify how to make digitalization more sustainable.- Nature-Inspired Principles for Sustainable Process Design in Chemical Engineering.- Comparative Analysis of Methods for Identifying Opportunities for Reusing Solid Waste.- TRIZ Evolution Trend-based Public Service Innovation for Enhancing Social Participation of Life Garbage Classification.- Concept Design of Appropriate Technology Based on Circular Economy for Sustainable Development Inferred from Korea Traditional Heating System.- Sustainability in yacht and vessel design through smart spaces: opportunities offered by digital technologies and new materiality.- Hybrid heat pump systems as a possible solution for the energy transition towards sustainable heating systems for buildings.- TRIZ, Intellectual Property and Smart Technologies.- Identifying new application fields of a given technology.- Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation.- Concept extraction based on semantic models using big amount of patents and scientific publications data.- Automatic extraction of potentially contradictory parameters from specific field patent texts.- Patent specialization for deep learning information retrieval algorithms.- Patent Data Driven Innovation Logic: Textual pattern exploration to identify innovation logic data.- Patent intelligence analysis to support technology roadmap on the sector of renewable energy.- TRIZ: Expansion in Breadth and Depth.- Matrix 2022: Re-Imagining The Contradiction Matrix.- Improving the construction of RCA+ contradiction trees.- Indicating and assessing quality criteria for cause-effect models.- Application of an FMEA based method to prioritize the initial problem choices in Inventive Design.- TRIZ Application for Digital Product Design & Management.- A reasoned evolutionary study on the actual design of farm tractors.- TRIZ contradiction modelling in family business succession process management: quantitative approach with an application of Grey Incidence Analysis.- A pioneering project on laser pyrolysis based entirely on TRIZ.- TRIZ, Data Processing and Artificial Intelligence.- Element Variation Innovation Thinking: A method of simplifying and reorganizing TRIZ.- Method for formulation, selection and application of elementary TRIZ inventive principles for automated idea generation.- Replicating TRIZ Reasoning through Deep Learning.- Bringing together engineering problems and basic science knowledge, one step closer to systematic invention.- TRIZ Use and Divulgation for Engineering Design and Beyond.- Triz-based Remodelling of Multiple True-False Questions.- Pedagogical approaches and course modality affecting students’ self-efficacy and problem-solving attitudes in a TRIZ-oriented course.- Facilitation of a creative culture through the implementation and initial evaluation of a TRIZ course within an organization.- Main Parameters of Value (MPV) Analysis: Where MPV Candidates Come From.- A global approach to point out priority problems out of experts’ qualitative data.- Integrated Use of TRIZ Tools in Systematic Conceptual Design.- Domain analysis with TRIZ to define an effective “design for excellence” framework.- The Efficient Work with Resources in TRIZ - Resource-Oriented Search (ROS).- Solution Concept Modeling and Evaluation Based on Function- Structure and Behavior Approach in the Context of Inventive Design.
£98.99
Springer Nature Switzerland AG Ground and Air Robotic Manipulation Systems in
Book SynopsisProblems of joint application of heterogeneous ground and air robotic means while performing the agricultural technological tasks that require physical interaction with agricultural products and the environment are discussed in the book. Proposed solutions for the exchange of energy and physical resources of unmanned aerial vehicles on ground service platforms, automation of the process of collecting agricultural products and ensuring the stability of the air manipulation system at physical interaction with a ground object are important for the transport and agricultural industry robotization.The book addresses the researchers investigating interdisciplinary issues of agricultural production robotization, problems of information, physical and energy interaction of ground and air robots; recommended to postgraduates and students studying "Mechatronics and robotics" and "Technologies, mechanization and power equipment in agriculture, forestry and fisheries."Table of ContentsChapter 1: Analysis of Existing Approaches to the Service Automation and to Interaction Control of Heterogeneous Agricultural Robots.- Chapter 2: Models and Algorithms of Interaction between Heterogeneous Agricultural Robots.- Chapter 3: Recommendation System to Select the Composition of the Heterogeneous Agricultural Robots.- Chapter 4: Experimental Estimation of Means Developed for Interaction between Heterogeneous Agricultural Robots.- Chapter 5: Theoretical Foundations to Control Technological and Robotic Operations with Physical Manipulations of Agricultural Products.
£80.99
Springer Nature Switzerland AG Applications of Mathematics of Uncertainty: Grand
Book SynopsisThis book provides an examination of major problems facing the world using mathematics of uncertainty. These problems include climate change, coronavirus pandemic, human tracking, biodiversity, and other grand challenges. Mathematics of uncertainty is used in a modern more general sense than traditional mathematics. Since accurate data is impossible to obtain concerning human tracking and other global problems, mathematics of uncertainty is an ideal discipline to study these problems. The authors place several scientific studies into different mathematical settings such as nonstandard analysis and soft logic. Fuzzy differentiation is used to model the spread of diseases such as the coronavirus. The book uses fuzzy graph theory to examine the problems of human tracking and illegal immigration. The book is an excellent reference source for advanced under-graduate and graduate students in mathematics and the social sciences as well as for researchers and teachers.Table of ContentsPreliminaries.- Nonstandard Fuzzy Sets.- Grand Challenges.- Bribery and Corruption.- Know Your Country.- Index.
£132.99
Springer Nature Switzerland AG Advances in Computational Intelligence Systems:
Book SynopsisThis book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.Table of ContentsAn Evolving Feature Weighting Framework for Granular Fuzzy Logic Models.- Fuzzy Multi-Criteria Decision-Making: Example of an explainable classification framework.- Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making.- Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure.- A Study of Neuro-weighted Nearest-neighbour Classification.- Q-Routing with Multiple Soft Requirements.- Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.- Stochasticity improves evolvability in articial gene regulatory networks.- ACO Inspired GA Mutation Applied to the TSP.- Centralised and Decentralised Control of Video Game Agents.
£179.99
Springer Nature Switzerland AG Proceedings of the Fifth International Scientific
Book SynopsisThis book presents key advances in intelligent information technologies for industry. This book of Lecture Notes in Networks and Systems contains the papers presented in the main track of IITI 2021, the Fifth International Scientific Conference on Intelligent Information Technologies for Industry held on September 30 – October 4, 2021 in Sirius, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB–Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Sirius University (Russia).IITI 2021 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state of the art in intelligent systems and soft computing were also included into proceedings.There were 180 paper submissions from 14 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 69 regular papers (38\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!
£161.99
Springer Nature Switzerland AG Mechanistic Data Science for STEM Education and
Book SynopsisThis book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems. Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers.Table of Contents1-Introduction to Mechanistic Data Science 2-Multimodal Data Generation and Collection 3-Optimization and Regression 4-Extraction of Mechanistic Features 5-Knowledge-Driven Dimension Reduction and Reduced Order Surrogate Models 6-Deep Learning for Regression and Classification 7-System and Design
£55.99
Springer Nature Switzerland AG Synchronization of Multi-Agent Systems in the
Book SynopsisThis monograph explores the synchronization of large-scale, multi-agent dynamical systems in the presence of disturbances, delays, and time-varying networks. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing the agents’ actions. The high technical level of their presentation and their rigorous mathematical approach make this a timely and valuable resource that will fill a gap in the existing literature. Divided into two sections, the first part of the book focuses on state synchronization of homogeneous multi-agent systems. The authors consider state synchronization by determining control strategies for both continuous- and discrete-time systems that achieve state synchronization under both full- and partial-state coupling. The chapters that follow examine multi-agent systems with both linear and nonlinear time-varying agents, input-delays for continuous- and discrete-time systems, and communication delays for continuous-time systems. The second part of the book is dedicated to regulated output synchronization of heterogeneous multi-agent systems with linear and nonlinear agents. Both sections of the book include performance considerations in H2- and H-infinity norms in the presence of external disturbances.Research on synchronization of multi-agent systems has been growing in popularity and is highly interdisciplinary, with applications to automobile systems, aerospace systems, multiple-satellite GPS and high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays will therefore be of interest to upper-level graduate students, researchers, and engineers in industry working on interconnected dynamical systems.Trade Review“This book presents a tangible overview of the theory and application of synchronization in a multi-agent system with an eye on disturbance and time delays. It is self-contained with preliminaries, theorem proofs and references. … This book is accessible to anyone studying systems and control theory with an undergraduate level of mathematics.” (Yilun Shang, Mathematical Reviews, October, 2022)Table of ContentsNotation and preliminaries.- Part I Synchronization of homogeneous systems.- Synchronization of continuous-time linear MAS.- Synchronization of discrete-time linear MAS.- Synchronization of linear MAS subject to actuator saturation.- Synchronization of continuous-time MAS with nonlinear time-varying agents.- Synchronization of continuous-time linear MAS with unknown input delay.- Synchronization of discrete-time linear MAS with unknown input delay.- Synchronization of continuous-time linear MAS with unknown communication delay.- Synchronization of discrete-time linear MAS with unknown communication delay.- Synchronization of linear MAS subject to actuator saturation and unknown input delay.- Synchronization of continuous-time linear time-varying MAS.- Synchronization of continuous-time nonlinear time-varying MAS.- H1 and H2 almost synchronization of continuous-time linear MAS.- Part II Synchronization of heterogeneous systems.- Necessary conditions for synchronization of heterogeneous MAS.- Regulated output synchronization of heterogeneous continuous-time linear MAS.- Regulated output synchronization of heterogeneous continuous-time nonlinear MAS.- Regulated output synchronization of heterogeneous continuous-time linear time-varying MAS.- Exact regulated output synchronization for heterogeneous continuous-time MAS in the presence of disturbances and measurement noise with known frequencies.- H1 almost output synchronization for heterogeneous continuous-time MAS.- H2 almost regulated output synchronization for heterogeneous continuous-time MAS.- Almost output synchronization of heterogeneous continuous-time linear MAS with passive agents.- Synchronization of heterogeneous continuous-/and discrete-time linear MAS with introspective agents.- A special coordinate basis (SCB) of linear multivariable systems.- Squaring down of general MIMO systems to invertible uniform rank systems via pre- and/or post-compensators.- Index.- References.
£95.99
Springer Nature Switzerland AG Advances in Natural Computation, Fuzzy Systems
Book SynopsisThis book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.Table of ContentsRRS:An Explainable Model Scale Search Strategy.- Detection of Small Targets in Aerial Images based on Feature Fusion.- Intrusion Detection Based on LSTM and Random Forests.- Research and Hardware Implementation of Binocular Vision Obstacle Avoidance for UAV.- Parameter Estimation of Equivalent Circuit Model for Lithium Batteries.- Improved U-Net Network for Segmentation on Femur Images.- A 14-bit 2MS/s Digital Self-Calibrating SAR ADC Design and Simulation.- A Windowed Interpolation Algorithm for High-precision ADC Spectrum Testing.- Temperature Compensation Algorithms Based on Digital Infrared Thermopile Sensors Systems.- Optimizing Deep-Learning Inference Operations.- An Efficient MRI Impulse Noise Multi-Stage Hybrid Filter Based on Cartesian Genetic Programming.- Multi-Objective Strategy Based on Rational Particle Swarm Optimization for Environmental/Economic Dispatch.- Express Service Composition Optimization Based on Improved Ant Colony Algorithm.
£197.99
Springer Nature Switzerland AG Proceedings of the International Conference on
Book SynopsisThis proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.Table of ContentsDeep Learning Based Early Diagnosis for SARS-CoV-2 Using Chest X-Ray Images.- Deep Learning-based Image Captioning using to Recognize Malicious or Emergency Activity in an Image.- Deep Learning Approaches for Personal Identification based on EGG Signals.- Research on Vehicle Detection Algorithm Based on Improved YOLO.- Deep Learning Quantitative-Trading-Models' Performance Assessment: The Egyptian Exchange Stock Market As a Case Study.- Robust Crosswalk Detection Using Deep Learning Approach.- Human Trafficking Solution by Deep Learning with Keras and OpenCV.- Automatic Insulator String and Disk Detection in Aerial Images Based on a Deep Learning Approach.- Reducing Voltage Sag in Electrical Distribution System Through Comparison and Simulation between DVR and DSTATCOM.- Understating Factors Affecting Traveling During Covid-19 using Sentiment Analysis.- Factors Affecting the Adoption of Technology in Education System: Case of GCC Universities.- Comparison between Filtering Estimation with Evidence and Prediction Filtering without Evidence to Predict a Robot localization States.
£179.99
Springer Nature Switzerland AG Fractional Dynamical Systems: Methods, Algorithms
Book SynopsisThis book presents a wide and comprehensive spectrum of issues and problems related to fractional-order dynamical systems. It is meant to be a full-fledge, comprehensive presentation of many aspects related to the broadly perceived fractional-order dynamical systems which constitute an extension of the traditional integer-order-type descriptions. This implies far-reaching consequences, both analytic and algorithmic, because—in general—properties of the traditional integer-order systems cannot be directly extended by a straightforward generalization to fractional-order systems, modeled by fractional-order differential equations involving derivatives of an non-integer order. This can be useful for describing and analyzing, for instance, anomalies in the behavior of various systems, chaotic behavior, etc. The book contains both analytic contributions with state-of-the-art and theoretical foundations, algorithmic implementation of tools and techniques, and—finally—some examples of relevant and successful practical applications.Table of ContentsFractional Dynamical Systems: State-of-the-Art.- Fractional Dynamical Systems: Mathematical Introduction.- Mixed Logical Dynamical Modeling of Discrete-time Hybrid Fractional Systems.- Fractional Variable-Order Derivative and Difference Operators and Their Applications to Dynamical Systems Modelling.- Asymptotic Behavior of Discrete Fractional Systems.- Fractional Variable-Order Linear System State-State Description Transformations.- Balanced Truncation Model Reduction in Approximation of Nabla Difference-based Discrete-time Fractional-order Systems.- State Feedback Law for Discerte-time Nonlonear Fractional Systems.- Some Specific Properties of Positive Standard and Fractional Interval Systems.- Global Stability of Nonlinear Fractional Dynamical Systems.- Controllability and Minimum Energy Control of Linear Fractional Systems.- Selected Engineering Applications of Fractional-Order Calculus.- Fractional Order State Space Models of One-dimensional Heat Transfer Process.
£123.49
Springer Nature Switzerland AG Advances in Automation and Robotics Research:
Book SynopsisThis book gathers the proceedings of the 3rd Latin American Congress on Automation and Robotics, held at Monterrey, Mexico, on November 17–19, 2021. This book presents recent advances in the modeling, design, control, and development of autonomous and robotic systems and explores current exciting applications and future challenges of these technologies. The scope of this book covers a wide range of research fields associated with automation and robotics encountered within engineering, scientific research, and practice. These topics are related to autonomous systems, industrial automation and robotics, modelling and systems identification, simulation procedures and experimental validations, control theory, artificial intelligence, computer vision, sensing and sensor fusion, multi-robot and multi-agent systems, field and service robotics, human robot interaction and interfaces, modelling of robotic systems, and the design of new robotic platforms.Table of ContentsDecidable Fragments of Calculi Used in CatLog.- Interactive Theorem Proving for Logic and Information.- A Valence Catalogue for Norwegian.- Arabic Computational Linguistics: Potential, Pitfalls and Challenges.
£134.99
Springer Nature Switzerland AG Advanced Technologies, Systems, and Applications
Book SynopsisThis book presents the innovative and interdisciplinary application of advanced technologies. It includes the scientific outcomes and results of the conference 12th Day of Bosnian-Herzegovinian American Academy of Art and Sciences held in Mostar, Bosnia, and Herzegovina, June 24-27, 2021. The latest developments in various fields of engineering have been presented through various papers in civil engineering, mechanical engineering, computing, electrical and electronics engineering, and others. A new session, Sustainable Urban Development: Designing Smart, Inclusive and Resilient Cities, was organized, enabling experts in this field to exchange their knowledge and expertise.
£179.99
Springer Nature Switzerland AG Software Engineering Application in Informatics:
Book SynopsisThis book constitutes the first part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021). The CoMeSySo 2021 Conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results. The software engineering, computer science, and artificial intelligence are crucial topics for the research within an intelligent systems problem domain.Table of ContentsRelationship between the Level of Economic Development and Education Level of the Employed Population.- Replacing the Reinforcement Learning (RL) to the Auto Reinforcement Learning (AutoRL) Algorithms to Find the Optimal Structure of Business Processes in the Bank.- Features of Using Programs for Casting Processes Modeling.- Development of an information system to help identify symptoms and predict the spread of COVID-19 using artificial intelligence.- Use of Analytic Hierarchy Process in Tasks of Knowledge Visualization.- Blockchain-Oriented Software Development issues: A literature Review.- Identification of Magnetic Levitation System.- The Optimal Model for Consumers' E-wallets Usage Intention.- Issues and possibilities of personal data remote processing in the COVID19 pandemic environment.- Oil Consumption Analysis in the Usa in Current Time.
£125.99
Springer Nature Switzerland AG Data Science and Intelligent Systems: Proceedings
Book SynopsisThis book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included.The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research resultsTable of ContentsMultiple OLAP Reports and the Best Compromise in the Decision-Making Process.- One Step Deep Learning Approach to Grasp Detection in Robotics.- Value Set-Based Numerical Analysis of Robust Stability for Fractional-Order Retarded Quasi-Polynomials with Uncertain Parameters and Uncertain Fractional Orders.- Crisis Risk Management in Organizational Systems.- Fashion Trend Forecasting Using Machine Learning Techniques: A Review.- Development of the Index Paradigm in Remote Sensing of Soil-Vegetable Cover.- Electric and hybrid vehicles: analysis of factors influencing purchase intentions of consumers in Czechia.- The Oil Production Dynamics Analysis in the World for Half a Century in Value Terms.- The Changes Dynamics Analysis in the Japanese Stock Exchange Nikkei^225 Index in the Latest Time.- Image segmentation of acidity of agricultural lands in eastern Siberia.- Management of Documented Information to Ensure Traceability of Radioelectronic Equipment Production Using Software.- Comparing different supervised classification algorithms to detect Arrhythmia in an ECG.
£125.99
Springer Nature Switzerland AG Advances in Manufacturing Processes, Intelligent
Book SynopsisThis book forms an excellent basis for the development of intelligent manufacturing system for Industry 4.0, digital and distributed manufacturing, and factories for future. This book of new developments and advancement in intelligent control and optimization system for production engineering serves as a good companion to scholars, manufacturing companies, and RTO to improve the efficiency of production systems.Table of ContentsTotal Quality Management with safety conformity: Shaping of working environment by use of the ISO 45001 guidelines.- ANN-FPA Based Modell ng and Optimization of Drilling Burrs Using RSM and GA.- The Complexity of Data-Driven in Engineer-To-Order Enterprise Supply-Chains.- Human-Centred Approach in Industry 4.0: Lighting Comfort in the Workplace.- Advanced risk model for the safety evaluation of food transport logistics.- Advanced Bayesian model to quantify the adequacy of organization for human reliability: A maritime case.- Flexible manufacturing system with uncertainty management using fuzzy logic for machine shop.- Adaptation of methods to improve the efficiency of business processes using the BPRPM method as a chance to gain a competitive advantage.
£142.49
Springer Nature Switzerland AG Advances in Nature-Inspired Cyber Security and
Book SynopsisThis book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book features contributions from leading scholars from all over the world.Table of Contents1) Nature-inspired Cyber Security and Resilience: An Overview2) Detection of Reconnaissance Attacks on IoT Devices Using Deep Neural Networks3) Particle Swarm Optimization driven DSE based Low Cost Hardware Security for Securing DSP IP Cores4) Malicious Activity Detection in IoT Networks: A Nature-Inspired Approach5) Nature-inspired malware & anomaly detection in android-based systems6) A Review of Artificial Intelligence and Machine Learning Methods for Cybersecurity Applications7) A Nature Inspired DNA Encoding Technique for Quantum Session Key Exchange Protocol8) Novel Hybridized Crow Optimization for Secure Data Transmission in Cyber Networks9) Malware attacks: Dimensions, Impact, and Defenses
£71.24
Springer Nature Switzerland AG Extended Reality Usage During COVID 19 Pandemic
Book SynopsisThis book explores the benefits to online teaching incorporating extended reality technologies both from a teacher’s and from a students’ perspective. As we are all aware, the COVID-19 pandemic has created a worldwide lock down which is clearly visible in individuals’ shifting behaviour as they are keeping away from public contact, large events, weddings, places of worship, public transportation, restaurant, flights, shopping malls, etc. People across the world have adopted to Work From Home (WFH) concept using digital technology. They are teaching, learning, conducting meetings, seminars, etc., using digital medium. As people were not allowed to go out and buy things, online shopping was in demand and extensible reality helped in marketing the products and customers could also have a better shopping experience. Gaming industry has always brought in many new games for children and adults. Healthcare sector also leveraged the benefits of this technology to the fullest extent. The use of augmented and virtual reality in art and museum is also highlighted. Our book presents the different sectors that have benefitted using this technology during this time of crisis. This book will be very useful for students, professionals and researchers working in the area of virtual, augmented or mixed reality. Our aim is to bring out the use of this technology during the COVID-19 pandemic so that the readers are exposed to the various applications of this technology.Table of Contents1. Use of Extended Reality in Medicine during the Covid-19 pandemic.- XR based remote learning experience during pandemic: Effectiveness and Barriers.- How virtual and augmented reality are reshaping the fashion industry during the Covid-19 Pandemic.
£113.99
Springer Nature Switzerland AG Advanced Analytics and Learning on Temporal Data:
Book SynopsisThis book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection. Table of ContentsOral Presentation.- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification.- State Space approximation of Gaussian Processes for time-series forecasting.- Fast Channel Selection for Scalable Multivariate Time Series Classification.- Temporal phenotyping for characterisation of hospital care pathways of COVID patients.- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation.- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control.- Detection of critical events in renewable energy production time series.- Poster Presentation.- Multimodal Meta-Learning for Time Series Regression.- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series.- State discovery and prediction from multivariate sensor data.- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds.- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.
£44.99
Springer Nature Switzerland AG Advances in Information, Communication and
Book SynopsisThis book gathers the proceedings of the International Conference on Information, Communication and Cybersecurity, held on November 10–11, 2021, in Khouribga, Morocco. The conference was jointly coorganized by The National School of Applied Sciences of Sultan Moulay Slimane University, Morocco, and Charles Darwin University, Australia. This book provides an opportunity to account for state-of-the-art works, future trends impacting information technology, communications, and cybersecurity, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners.ICI2C 2021 was devoted to advances in smart information technologies, communication, and cybersecurity. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 159 paper submissions from 24 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 54 regular papers (34\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!
£116.99
Springer Nature Switzerland AG Soft Computing for Data Analytics, Classification
Book SynopsisThis book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.Table of ContentsChapter 1: An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model using Krill Herd Algorithm for Sentiment Text Analytics.- Chapter 2: Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain.- Chapter 3: Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model.- Chapter 4: Optimal Neutrosophic Rules based Feature Extraction for Data Classification using Deep Learning Model.- Chapter 5: Self-Evolving Interval Type-2 Fuzzy Neural Network Design for The Synchronization of Chaotic Systems.- Chapter 6: Categorizing Relations via Semi-Supervised Learning using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach.- Chapter 7: Data-driven Fuzzy C-Means Equivalent Turbine-governor for Power System Frequency Response.- Chapter 8: Multicriteria group decision making using a novel similarity measure for triangular fuzzy numbers based on their newly defined expected values and variances.- Chapter 9: Bangla Printed Character Generation from Handwritten Character Using GAN.
£142.49
Springer Nature Switzerland AG Artificial Intelligence in Cardiothoracic Imaging
Book SynopsisThis book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients.This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.Table of ContentsPART I: Artificial Intelligence: Technical Considerations and Fundamentals Artificial Intelligence: A Century-Old Story Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentials Artificial Intelligence Algorithm Development for Biomedical Imaging Data Preparation for Artificial Intelligence Data Storage, Cloud Usage and Artificial Intelligence Pipeline How to Build Artificial Intelligence Algorithms for Imaging Applications Radiomics: Technical Background Biobanks and Artificial Intelligence Biostatistics and Artificial Intelligence PART II: Artificial Intelligence: General Approaches and Applications Structured Reporting in Medical Imaging: the Role of Artificial Intelligence Artificial Intelligence: Clinical Relevance and Workflow Patient Selection and Scan Preparation Optimization: the Role of Artificial Intelligence Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imaging Artificial Intelligence Based Image Reconstruction in Cardiac Magnetic Resonance Artificial Intelligence Based Image Reconstruction in Computed Tomography Imaging Artificial Intelligence Based Contrast Medium Optimization Radiation Dose Optimization: the Role of Artificial Intelligence Artificial Intelligence Integration into the Computed Tomography System Artificial Intelligence Integration into the Magnetic Resonance System Magnetic Resonance Fingerprinting: the Role of Artificial Intelligence Currently Available Artificial Intelligence Software for Cardiothoracic Imaging PART III: Artificial Intelligence: Cardiac Applications Cardiac CT Guidelines and Clinical Applications: Where does Artificial Intelligence fit in?Natural Language Processing for Cardiovascular Applications Artificial Intelligence Based Evaluation of Coronary Calcium Artificial Intelligence Based Evaluation of Coronary Atherosclerotic Plaques Artificial Intelligence Based Coronary Artery Disease Reporting & Data System (CAD-RADS) Artificial Intelligence Based CT Derived Fractional Flow Reserve (CT-FFR) Artificial Intelligence Based Evaluation of Cardiac Valves Artificial Intelligence Based Diagnosis and Procedural Planning for Aortic Valve Disease Artificial Intelligence Based Quantification of Cardiac Fat Radiomics in Cardiac CTCardiac MR Guidelines and Clinical Applications: Where does Artificial Intelligence fit in? Artificial Intelligence Based Evaluation of Functional Cardiac Magnetic Resonance Imaging Qian TaoMagnetic Resonance Imaging based 4D Cardiac Flow: the Role of Artificial Intelligence Magnetic Resonance Imaging based Coronary Flow: the Role of Artificial Intelligence Artificial Intelligence Based Evaluation of Cardiac Congenital Disease Cardiac Nuclear Medicine: the Role of Artificial Intelligence Cardiac Ultrasound Imaging: the Role of Artificial Intelligence Artificial Intelligence Based Cardiovascular Risk Stratification PART IV: Artificial Intelligence: Thoracic Applications Artificial Intelligence Based Evaluation of Patients with Chronic Obstructive Pulmonary Disease Artificial Intelligence Based Evaluation of Patients with Interstitial Lung Disease Artificial Intelligence Based Evaluation of Infectious Disease Imaging: A COVID-19 Perspective Artificial Intelligence for Lung Cancer Screening and Nodule Detection Artificial Intelligence for Lung Cancer Characterization and PrognosisArtificial Intelligence for Opportunistic Chest CT Screening and Prognostication Artificial Intelligence Based Detection of Pulmonary Vascular Disease Artificial Intelligence Based Evaluation of the Aorta Artificial Intelligence and Radiomics Based Evaluation of Carotid Artery Disease PART V: Artificial Intelligence: General Considerations Artificial Intelligence in Medicine: Laws, Regulations and Privacy Health Economics, Economic Evaluation and Artificial Intelligence Technology Commercialization & Intellectual Property of Artificial Intelligence Applications in Cardiovascular ImagingEthical Considerations of Artificial Intelligence Applications in Healthcare How to Write and Review an Artificial Intelligence Paper Cybersecurity in the Era of Artificial Intelligence How Artificial Intelligence Will Reshape Healthcare and Medical Imaging: A Global Perspective
£132.99
Springer Nature Switzerland AG 11th International Conference on Theory and
Book SynopsisThis book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.
£116.99
