Databases / Data management Books

Book SynopsisThis textbook covers both fundamental and advanced Java database programming techniques for beginning and experienced students as well as programmers (courses related to database programming in Java with Apache NetBeans IDE 12 environment). A sample SQL Server 2019 Express database, CSE_DEPT, is created and implemented in all example projects throughout this textbook. Over 40 real sample database programming projects are covered in this textbook with detailed illustrations and explanations to help students understand the key techniques and programming technologies. Chapters include homework and selected solutions to strengthen and improve students’ learning and understanding for topics they study in the classroom. Both Java desktop and Web applications with SQL Server database programming techniques are discussed and analyzed. Some updated Java techniques, such as Java Server Pages (JSP), Java Server Faces (JSF), Java Web Service (JWS), JavaServer Pages Standard Tag Library (JSTL), JavaBeans and Java API for XML Web Services (JAX-WS) are also discussed and implemented in the real projects developed in this textbook.This textbook targets mainly advanced-level students in computer science, but it also targets entry-level students in computer science and information system. Programmers, software engineers and researchers will also find this textbook useful as a reference for their projects.Table of Contents

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Book SynopsisThis volume discusses the concept of The Spatial University as part of the broad growth of spatial science and the need for spatial infrastructure in colleges and universities. The book centers on the development of U-Spatial, the spatial science infrastructure at the University of Minnesota that offers a range of spatial activities and services, including data access, training, and community building. Against a backdrop of the changing nature of research, teaching, and service in higher education, the story of U-Spatial anchors a broader discussion of what it means to be a spatial university. This narrative framing demonstrates—with specific examples—the importance of institutions offering dedicated spatial research infrastructure. In six chapters, the text explores the importance of spatial thinking, learning, and research for student and researcher success. The volume offers lessons that are applicable far beyond the University of Minnesota to apply to a broad array of domains and institutional specializations. The book will be useful to students, researchers, and policymakers concerned with how institutions can encourage spatial research, teaching, and service. It will also appeal to researchers and practitioners interested in broader uses of spatial science.This book shows how GIS can transform a university, speaking to the need for leadership in higher education around the power of bringing everything together using spatial and geographic concepts. Jack Dangermond Co-Founder and President, EsriTable of ContentsChapter 1. Three Scales of the Spatial University.- Chapter 2. U-Spatial: Nexus of the Spatial University.- Chapter 3. Spatial university for service and support.- Chapter 4. Spatial thinking and learning.- Chapter 5. Spatial science and research.- Chapter 6. Future of the Spatial University.

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Book SynopsisThis book provides the latest research advancements and findings for the scientific systematization of knowledge regarding digital governance and transformation, such as core concepts, foundational principles, theories, methodologies, architectures, assessment frameworks and future directions. It brings forward the ingredients of this new domain, proposing its needed formal and systematic tools, exploring its relation with neighbouring scientific domains and finally prescribing the next steps for laying the foundations of a new science. The book is structured into three main areas. The first section focuses on contributions towards the purpose, ingredients and structure of the scientific foundations of digital transformation in the public sector. The second looks at the identification and description of domain's scientific problems with a view to stabilizing research products, assessment methods and tools in a reusable, extendable and sustainable manner. The third envisions a pathway for future research to tackle broader governance problems via the applications of information and communication technologies in combination with innovative approaches from neighbouring scientific domains. Contributing to the analysis of the scientific perspectives of digital governance and digital transformation, this book will be an indispensable tool for students, researchers and practitioners interested in digital governance, digital transformation, information systems, as well as ICT industry experts and policymakers charged with the design, deployment and implementation of public sector information systems.Table of ContentsPart A: Scientific Foundations of Digital Governance.- Chapter 1 - Scientific Foundations of Digital Governance - Why, What and How (Yannis Charalabidis,Zoi Lachana, Charalampos Alexopoulos).-Chapter 2 - Digital governance as a scientific concept (Tove Engvall, Leif Skiftenes Flak).- Chapter 3 - Digital Government Research: A Diverse Domain (Hans J. Scholl).- Chapter 4 - On the Structure of the Digital Governance Domain ( Zoi Lachana, Yannis Charalabidis, Panagiotis Keramidis).- Chapter 5 - Digital Governance education: Survey of the programs and curricula ( Demetrios Sarantis, Soumaya Ben Dhaou, Charalampos Alexopoulos, Alexander Ronzhyn, Francesco Mureddu).- Chapter 6 - Discussing the Foundations for Interpretivist Digital Government Research (Keegan McBride, Yuri Misnikov, Dirk Draheim).- Part B: Digital Governance Problem and Solution Space.- Chapter 7 - Understanding Digital Transformation in Government( Frank Danielsen, Leif Skiftenes Flak, Øystein Sæbø),- Chapter 8 - A Public Value Impact Assessment Framework for Digital Governance (Anne Fleur van Veenstra, Tjerk Timan).- Chapter 9 - Fostering a data-centric public administration: strategies, policy models and technologies ( Francesco Mureddu, David Osimo, Angeles Kenny, Matthew Upson, Vassilios Peristeras).- Chapter 10 - A Methodology for Evaluating and Improving Digital Governance Systems Based on Information Systems Success Models and Public Value Theory (Euripidis Loukis).- Chapter 11 - Understanding the impact of public policy context on the implementation orientation for the digital transformation of interoperable public services (Raul M. Abril).- Joep Crompvoets).- Chapter 12 - Agent Based Modeling in Digital Governance Research: A Review and Future Research Directions ( Prakash C. Sukhwal, Atreyi Kankanhalli).- Part C: Perspectives and Future Research Directions for Digital Governance.- Chapter 13 - Government 3.0: Scenarios and Roadmap of Research ( Alexander Ronzhyn, Maria A. Wimmer).- Chapter 14 - Building Digital Governance Competencies: Baseline for a Curriculum and Master Programme (Gabriela Viale Pereira, Alexander Ronzhyn, Maria A. Wimmer).- Chapter 15 - E-Justice: A Review and Agenda for Future Research ( Nilay Yavuz, Naci Karkın, Mete Yıldız).- Chapter 16 - Digitalisation and Developing a Participatory Culture: Participation, Co-production, Co-destruction ( Noella Edelmann ).

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Book SynopsisThis book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.Table of ContentsDigital Technologies for Clinical, Public and Global Health Surveillance.- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data.- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use.- Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums.- Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging.- Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies.- Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada.- RRISK: Analyzing COVID-19 Risk in Food Establishments.- AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature.- Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis.- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance.- Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis.- Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs.- Do Deep Neural Networks Forget Facial Action Units? - Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition.- Utilizing Predictive Analysis to Aid Emergency Medical Services.- Measuring Physiological Markers of Stress During Conversational Agent Interactions.- EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events.- Predicting Patient Outcomes with Graph Representation Learning.- Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording.- Evaluation Metrics for Deep Learning Imputation Models.- Logistic Regression Is Also A Black Box. Machine Learning Can Help.

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Book SynopsisThis book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.Table of ContentsThe effectiveness of applying Fintech application in Bahrain: Theoretical Perspective.- The Usage of Artificial Intelligence in Arab Financial Institutions.- Libra Currency and its Global Financial and Economic Impact.- Haitian cooperative of savings and credits: social and community dimensions of success.- The Impact of Corporate Social Responsibility Disclosure on the Financial Performance of Banks Listed on the PEX and the ASE.- Effect of Adopting the Criterion of Revenue from Contracts with Clients on Accounting Conservatism.- The Banking sector role against the risks of Currency Floating.- Shariah Resolutions and Issues on Islamic Repo.- Financial Performance Analysis of Firms: A Focus on Oil and Gas Industry Sustainable Practices in Oman.- Islamic banking strategies in the world of Fintech: Success story of Bahrain.- Computing Financial Performance of Road Freight Transportation (Trucking) Industry in India using Mathematical Tool.- Computing Causality Between Macro-Economic Indicators and Indian Financial Markets.- Crowdsoured Technology as A Collabarative Tool for Environmental Enforcement: A Critical Review of Current Applications.

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Book SynopsisThis book provides a friendly introduction to the paradigm and proposes a broad panorama of killing applications of the Infinity Computer in optimization: radically new numerical algorithms, great theoretical insights, efficient software implementations, and interesting practical case studies. This is the first book presenting to the readers interested in optimization the advantages of a recently introduced supercomputing paradigm that allows to numerically work with different infinities and infinitesimals on the Infinity Computer patented in several countries. One of the editors of the book is the creator of the Infinity Computer, and another editor was the first who has started to use it in optimization. Their results were awarded by numerous scientific prizes. This engaging book opens new horizons for researchers, engineers, professors, and students with interests in supercomputing paradigms, optimization, decision making, game theory, and foundations of mathematics and computer science.“Mathematicians have never been comfortable handling infinities… But an entirely new type of mathematics looks set to by-pass the problem… Today, Yaroslav Sergeyev, a mathematician at the University of Calabria in Italy solves this problem… ”MIT Technology Review“These ideas and future hardware prototypes may be productive in all fields of science where infinite and infinitesimal numbers (derivatives, integrals, series, fractals) are used.” A. Adamatzky, Editor-in-Chief of the International Journal of Unconventional Computing.“I am sure that the new approach … will have a very deep impact both on Mathematics and Computer Science.” D. Trigiante, Computational Management Science.“Within the grossone framework, it becomes feasible to deal computationally with infinite quantities, in a way that is both new (in the sense that previously intractable problems become amenable to computation) and natural”. R. Gangle, G. Caterina, F. Tohmé, Soft Computing.“The computational features offered by the Infinity Computer allow us to dynamically change the accuracy of representation and floating-point operations during the flow of a computation. When suitably implemented, this possibility turns out to be particularly advantageous when solving ill-conditioned problems. In fact, compared with a standard multi-precision arithmetic, here the accuracy is improved only when needed, thus not affecting that much the overall computational effort.” P. Amodio, L. Brugnano, F. Iavernaro & F. Mazzia, Soft ComputingTrade Review“This book could have deep impact upon not only local, global, multi-objective optimization and machine learning, but also possibly on applied mathematics more broadly and numerical computation. People interested in new ideas for computer science and its foundations and possibly even the philosophy of mathematics will find this volume interesting, as would those working in theoretical or applied optimization.” (Jonathan Gillard, Optimization Letters, Vol. 17 (2), 2023)Table of ContentsA New Computational Paradigm Using Grossone-Based Numerical Infinities and Infinitesimals.- Nonlinear Optimization: A Brief Overview.- The role of grossone in Nonlinear Programming and Exact Penalty Methods.

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Book SynopsisThis book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.Table of ContentsUncertainty characterizations, typologies and related notions in times of changeCynthia M. Montaudon-Tomas; Ingrid N. Pinto-López Mexico and the challenges of achieving the 2030 Sustainable Development Goals Ingrid N. Pinto-López; Cynthia M. Montaudon-Tomas; Anna M. Gil-Lafuente Leadership and employees’ satisfaction in contemporary organizations Montserrat Crespi-Vallbona; Xavier Llopart Perez; Sefa Boria-Reverter; Oscar Mascarilla-Miró Design of an Employer Branding model Mª Luisa Rayón; Marina Romeo; Montserrat Yepes-Baldó; Sefa Boria-Reverter Investment evaluation proposal with fuzzy tools. Case Molecular Immunology Center Onailis Oramas Santos; Lourdes Souto Anido; Maritza Ortiz Torres Performance Evaluation Procedure based on Fuzzy Mathematics and OWA Operators. Lourdes Souto Anido The fit between corporate entrepreneurship and innovation in the organizational performance through SHRM Montserrat Salvans Blanch; Anna M. Gil-Lafuente; M. Luisa Sole Moro; Sefa Boria Reverter Procedure for the selection of international markets. Application in the Cement Business Group of Cuba Irene García Rondón; Alicia Vitale Alfonso; Zamir Cobas Customer satisfaction at the Roc Presidente Hotel Thais Zamora Molina; Dr. José Manuel Pozo Rodríguez; Omar Marrero Salgueiro The Internationalization in The Learning of The Accounting Profession. Use of The Kahoot As A Teaching Tool for Learning M. Pilar Curós Vilá; Elisa Isabel Cano Montero; Julián Chamizo González; Jordi Martí Pidelaserra An input of fuzzy logic to sustainable tourism: a case from Brazil Luciano Barcellos de Paula; Anna María Gil-Lafuente; Daniela F. Alvares A bibliometric study of key journals in corporate social responsibility Verónica Pizarro; José M. Merigó; Leslier Valenzuela; Sebastián Aciares A bibliometric review of decision models in uncertainty between 1990 and 2018 Luciano Barcellos de Paula; Iván de La Vega; Anna M. Gil-Lafuente Data Driven Business Model: A Strategy for Transparency in the Sharing Economy. A bibliometric overview Carolina Luis Bassa; Thibisay González Rodríguez Application of the Forgotten Effects Theory to the Qualitative Analysis of the Operational Risk Events Agustín Torres Martínez; Anna María Gil Lafuente; Aras Keropyan; José M. Merigó Lindahl Business Informality: An Application of the Forgotten Effects Model Marlene Rocío Moscoso Quiceno; Sonia Elena Godoy Hortua Adaptation of grocery stores to the post-COVID-19 environment. The case of Barcelona Emili Vizuete-Luciano; Sefa Boria-Reverter; Maria Luisa Solé-Moro; Anna Maria Gil-Lafuente

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Book SynopsisThis book is a collection of papers compiled from the conference "Algorithms and Computer-Based Solutions" held on June 8-9, 2021 at Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia. The authors of the book are leading scientists from Russia, Germany, Netherlands, Greece, Hungary, Kazakhstan, Portugal, and Poland.The reader finds in the book information from experts on the most interesting trends in digitalization - issues of development and implementation of algorithms, IT and digital solutions for various areas of economy and science, prospects for supercomputers and exo-intelligent platforms; applied computer technologies in digital production, healthcare and biomedical systems, digital medicine, logistics and management; digital technologies for visualization and prototyping of physical objects.The book helps the reader to increase his or her expertise in the field of computer technologies discussed.

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Book SynopsisThis book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations. This book will be very useful for academic researchers and postgraduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments and developing models to make decisions. Developments in other theories and socioeconomic and computational changes have shed light on the importance of fuzzy applications in social sciences. The treatment of uncertainty in the economic and business analysis is fundamental and requires instruments compatible with the uncertain environment of economics and business, because most of the traditional models have been overtaken by this reality when trying to make decisions with uncertain information. In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.Table of ContentsWavelet entropy and complexity analysis of cryptocurrencies dynamics.- The Use of Fuzzy Decoupled Net Present Value in pepper production.- The effect of energy prices on Mexican households’ consumption.- How to Cope with Complexity in Decision-Making: an Application of Fuzzy Qualitative Comparative Analysis in the Triage Process.- ESG risk disclosure and earning timelines in the Mexican capital market using fuzzy logic regression.- The Digital Taxation Adoption and its Impact on Income Tax in Mexico (2010-2020).

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Book SynopsisThe authors explore various aspects of information processing for the design of service systems, efficient management, secure storage, and transmission. In addition, the subline provides knowledge and practice in decentralized ICT technologies, including those based on blockchain. The aim of this book is to analyze and develop methods of building decentralized private databases without the presence of a trusted party, methods of data processing in encrypted form to ensure the confidentiality of information, and accessibility of the corresponding fragment of the original or transformed data. In this book it is also relevant to research methods and protocols routing in infocommunication networks, which provides load balancing in the network, and analysis of intrusion detection methods based on analysis of signatures and anomalies in network behavior (state changes) based on machine learning and fractal analysis methods.Table of ContentsMethods for Privacy Support in the Decentralized Environment.- Application of Bluetooth, Wi-Fi and Gps Technologies in the means of Contact Tracking.- Analysis and Research of Threat, Attacker and Security Models of Data Depersonalization in Decentralized Networks.- Cryptographic Transformations in a Decentralized Blockchain Environment.- Statistical and Signature Analysis Methods of Intrusion Detection.- Criteria and Indicators of Efficiency of Cryptographic Protection Mechanisms.- Methods of Evaluation and Comparative Research of Cryptographic Conversions.- Cryptographic Mechanisms that Ensure the Efficiency of SNARK-Systems.- Comparative Analysis of Consensus Algorithms that use a Directed Acyclic Graph Instead of a Blockchain, and Construction of Estimates of the SPECTRE Protocol Security to the Double Spend Attack.- Models and Methods of Secure Routing and Load Balancing in Infocommunication Networks.- The Methods of Data Comparison in Residue Numeral System.- Data Control in the System of Residual Classes.- Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks.

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Book SynopsisThis book constitutes the proceedings of the 3rd International Conference on Advances in Emerging Trends and Technologies (ICAETT 2021), held in Riobamba, Ecuador, on November 10–12, 2021, proudly organized by Facultad de Informática y Electrónica (FIE) at Escuela Superior Politécnica de Chimborazo and supported by GDEON. ICAETT 2021 brings together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topice-Businesse-LearningIntelligent systemsMachine visionSecurityTechnology trends

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Book SynopsisThis book is composed by the papers written in English and accepted for presentation and discussion at The 2022 International Conference on Information Technology & Systems (ICITS'22), held at Tecnológico de Costa Rica, in San Carlos, Costa Rica, between the 9th and the 11th of February 2022.ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications.The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication.

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Book SynopsisThis book presents the systematized research, development and improvement of methods in self-healing communication and control systems. The book presents new models and methods of data processing, focused on the specifics of self-healing systems. The goal is to equip the reader with the necessary knowledge about trends in monitoring and detecting failures, modelling processes and methods of data processing in self-healing communication and control systems.Table of ContentsSelf-healing Systems Monitoring.- Self-healing Systems Modelling.- Methods to Manage Data in Self-healing Systems.

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Book SynopsisThis book focuses on research and development aspects of building data analytics workflows that address various challenges of e-learning applications. This book represents a guideline for building a data analysis workflow from scratch. Each chapter presents a step of the entire workflow, starting from an available dataset and continuing with building interpretable models, enhancing models, and tackling aspects of evaluating engagement and usability. The related work shows that many papers have focused on machine learning usage and advancement within e-learning systems. However, limited discussions have been found on presenting a detailed complete roadmap from the raw dataset up to the engagement and usability issues. Practical examples and guidelines are provided for designing and implementing new algorithms that address specific problems or functionalities. This roadmap represents a potential resource for various advances of researchers and practitioners in educational data mining and learning analytics.Table of ContentsIntroduction to Data Analytics in e-Learning

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Book SynopsisThis book is based on the best papers accepted for presentation during the International Conference on Mathematics and its Applications in New Computer Systems (MANCS-2021), Russia.The book includes research materials on modern mathematical problems, solutions in the field of cryptography, data analysis and modular computing, as well as scientific computing. The scope of numerical methods in scientific computing presents original research, including mathematical models and software implementations, related to the following topics: numerical methods in scientific computing; solving optimization problems; methods for approximating functions, etc. The studies in mathematical solutions to cryptography issues are devoted to secret sharing schemes, public key systems, private key systems, n-degree comparisons, modular arithmetic of simple, addition of points of an elliptic curve, Hasse theorem, homomorphic encryption and learning with error, and modifications of the RSA system. Furthermore, issues in data analysis and modular computing include contributions in the field of mathematical statistics, machine learning methods, deep learning, and neural networks. Finally, the book gives insights into the fundamental problems in mathematics education. The book intends for readership specializing in the field of cryptography, information security, parallel computing, computer technology, and mathematical education.

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Book SynopsisThe book comprises high-quality refereed research papers presented at the Third International Symposium on Computer Science, Digital Economy, and Intelligent Systems (CSDEIS2021), held in Moscow, Russia, on December 25-26, 2021, organized jointly by the Mechanical Engineering Research Institute of the Russian Academy of Sciences，Moscow State Technical University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book includes 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 its applications in engineering and management.Table of ContentsFuzzy Assessment of the Sustainability of the Agricultural Engineering Industry.- Methodology for Assessing the Risk Level of a Technical Re-equipment Project Based on Fuzzy Logic.- Digital System for Monitoring and Management of Livestock Organic Waste.- Research on RPG Game Recommendation System.- LSTM-based Load Prediction for Communication Equipment.- Application of MEA-LSTM Neural Network in Stock Balance Prediction.- Future Design Forearm Prosthesis Control System.- Map of Virtual Promotion of a Product.- Analysis of the Technical Condition of Agricultural Machinery Using Neural Networks.- Information Spaces for Big Data Problems in Fuzzy Bayesian Decision Making.- Digital Twins as an Advanced Tool for the Approbation of Longevity Estimation Methods.- Algorithms Optimization for Procedural Terrain Generation in Real Time Graphics.- Business Information Systems for Innovative Projects Evaluation at the Conceptual Design Stage.- Analysis of Nonlinear Deformation of Elastic-plastic Membranes with Physical Non-linearity.- The Universal Multilevel Relationship between the Stochastic Organization of Genomes and the Deterministic Structure of DNA Alphabets.- Projecting an Educational Program for the Preparation of Bachelors in the Profile “Digital Economy”.- RON Loss Prediction Based on Model of Light Gradient Boosting Machine.- Application of Emergency Grain Transportation Based on Improved Ant Colony Algorithm.- Research on Grain Pile Temperature Prediction Based on CNN-GRU Neural Network.- Research on Prediction Model of Grain Temperature Based on Hybrid Model.- Scenario Forecasting of University Development Based on a Combined Cognitive Model.

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Book SynopsisThis book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.Table of ContentsAn Introduction and Systematic Review on Machine Learning for Smart Environments/Cities: An IoT Approach.- Model-Based Digital Threads for Socio-Technical Systems.- IoT Regulated Water Quality Prediction Through Machine Learning for Smart Environments.

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Book SynopsisThis book addresses the issues of information, digital and intellectual technologies in economics and management. The International Scientific and Practical Conference "Digital and Information Technologies in Economics and Management" (DITEM2021) was held on November 2, 2021, on the Microsoft Teams platform due to COVID-19. A distinctive feature of the book is that it presented reports of authors from Italy, South Korea, Poland, Armenia, Republic of Belarus and the Russian Federation. Researchers from different countries presented the process of transition of economic activities to the information and digital path of development and presented the main directions and developments that can improve the efficiency and development of the economy and management. The book may be useful to state and regional authorities, international and supranational organizations, the scientific and professional community.

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Book SynopsisThis book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.Table of ContentsAn Empirical Study on the Evolutionary Mechanism of Tourism Enterprises in Computer System Data Analysis.- A Preliminary Study of the Modeling and Simulation Technology of New Artificial Intelligence System in the Era of Big Data.- Computer Distributed Mirror Storage Algorithm for Desktop Virtualization.- Construction of Financial Investment Risk Measurement Model Based on Big Data.- Research on Straw Weaving Modeling System Based on Machine Learning Algorithm.- 5G New Radio Waveform with Time-Frequency Optimized Multiwavelet Packet.- Application of AR Technology in the Design of Cultural Communication Platform System.- Application Research on Facial Makeup Modeling Activation of Classical Opera Based on AR Virtual Information Technology.- An Evaluation Method of Light Strip Center Detection Algorithm Based on Line Structured Light Vision.- Design and Application Analysis of Network Command System for Power Grid Dispatching Operation.- Research and Implementation of Application Scenarios for Dispatching Voice Interaction Based on Artificial Intelligence.- Intelligent Accounting System Structure and Intelligent Accounting Algorithm Based on Computer Vision.- A Research on the Intelligent Recognition of Athletes’ Wrong Actions Based on Visual Data Technology.- Virtual Reality Video CU Partition Fast System Based on Dynamic Selection Algorithm.- Risk Analysis Model of Financial Management Products Based on Clustering Algorithm.- Weak and Small Face Target Recognition based on MTCNN Network in Dynamic Platform.

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Book SynopsisThis book takes a forward-looking approach by bringing in research and contributions that facilitate in mapping the impact of AI and big data on businesses, the nature of work along with providing practical solutions for preparing the work, workplace, and the workforce of the future. Organizations globally have been experiencing immense transformation due to the reinvention and redefining of the business models due to the dynamic nature of the business environment. Looking at an organizational context, undeniably, the definition of ‘work’ and ‘organizations’ is genuinely changing. Artificial intelligence, big data, automation, and robotics are a few of those keywords that are seemingly entering the workplace and reshaping the way work is being done. Moreover, the transition that is being addressed herein not only focuses upon aspects that are operative within an organization like the organizational culture, team building, networking, recruitments, and so on but also aims to address the external aspects like supply chain management, value chain analysis, investment management, etc. Broadly, every single step that is now taken is intensely experiencing this impact upon its functioning. This book serves as a guide not just to the academia but also to the industry to adopt suitable strategies that offer insights into global best practices as well as the innovations in the domain.Table of ContentsPart I: Driving Innovative and Creative Practices.- Challenges of the Industrial IOT (IIoT) in Higher Education in the Kingdom of Bahrain.- The role of Emotional Intelligence in the improvement of Industrial Multicriteria Decision Making: A Model Driven Approach for Emotional Intelligence Testing.- Redesigning and Reinvention of Retail Industry through Artificial Intelligence (AI).- The Role of Artificial intelligence in Human Resources.- Transforming into Smart Business: The role of Artificial Intelligence.- The Dynamic Capital Structure Decision of Firms in Indonesia.- The Suitability of Gold as a High-quality Liquid Asset: Empirical Evidence from Volatility Structure Analysis.- The Impact of Artificial Intelligence on the Banking Industry Performance.- Part II: Social media, Communication and its effects on society and business.- In Influencers We Trust? A Model of Trust Transfer in Social Media Influencer Marketing.- The Usage of Artificial Intelligence in Journalism.- Societal Partnership in the Fourth Era of Industrial Revolution Between the Media And Civil Society Institutions Aiming To Reducing The Demand For Drugs.- Artificial Intelligence: Chatbot - The New Generation of Communication.- The Relationship Between Food E-Advertising and Children’s Obesity in Bahrain.- Technological Sustainability in the 21st Century.- Part III: The implementation of technology and the future of education and knowledge.- Interns' Self-Efficacy, Internet Addiction, Wellbeing, and Online Learning Experiences: A Descriptive-Correlational Study.- The challenges and factors influencing the E-learning system usage during COVID-19 pandemic.- Student Invigilation Detection using Deep Learning and Machine after Covid-19: A Review on Taxonomy and Future Challenges.- The Websites Technology for Arabic Language Learning through COVID-19 Pandemic.- The Impact of Digitizing Business Education on the Quality of Education during COVID-19 Pandemic: The Role of International Accreditation Bodies.- The Role of Artificial Intelligence in Knowledge Management.- Knowledge and Perceptions of the COVID-19 Pandemic in the Kingdom of Bahrain: A Descriptive Study.- Part IV. The Fourth Industrial Revolution, cryptocurrency, cybersecurity, ethics and corporate performance.- Risks, Advantages and Obstacles Associated with Bitcoin: The Perspective of Palestinian Banks.- The impact of major technologies in Fourth Industrial Revolution.- The Usage of Financial Technology Payments During the Pandemic of Covid-19.- The Influence of Cybersecurity on The Firms’ Financial Performance.- The Fact of corporate governance in the Palestinian territories.- Malay Ethnic Directors, Board Attributes and Ownership Structure on Firm Performance: Corporate Governance Evidence from an Emerging Market.- Impact of Derivatives on Firm Value: Evidence on Shariah and non-Shariah Compliant Firms.- The Impact of Artificial Intelligence (AI) in the Oil and Gas Industry.

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Book SynopsisThis open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.Table of ContentsData Science and Earth System Science.- The Digital Earth project: focus and agenda.- Data analysis and exploration with visual approaches.- Data analysis and exploration with computational approaches.- Data analysis and exploration with scientific workflows.- The Digital Earth SMART monitoring concept and tools.- Interdisciplinary collaboration.- Evaluating the success of the Digital Earth project.- Lessons learned in the Digital Earth project.

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Book SynopsisThis book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications, different kinds of networks need to collaborate, and wired and next generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. The aim of the book “Advanced Information Networking and Applications” is to provide 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 applications.Table of ContentsLSTM-based Reinforcement Q Learning Model for Non Intrusive Load Monitoring.- Machine Learning for Student QoE Prediction in Mobile Learning during COVID-19.- Shape trajectory analysis based on HOG descriptor for isolated word sign language recognition.- An Improved Ant Colony Optimization based Parking Algorithm with Graph Coloring.-Smart insole monitoring system for fall detection and bad plantar pressure.- Information Security Fatigue in Visually Impaired University Students.- A floating car data application to estimate the origin- destination car trips before and during the COVID-19 pandemic.- Simulation and evaluation of charging electric vehicles in smart energy neighborhoods.

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Book SynopsisThis book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract TechnologiesTable of ContentsAKTB Workshop.- Analysis of the structure of Germany's energy sector with self-organizing Kohonen maps.- Time-to-Event Modelling for survival and hazard analysis of Stroke clinical case.- Automatically Extracting Insurance Contract Knowledge Using NLP.- Analyzing Medical Data with Process Mining: a COVID-19 Case Study.- Problem Domain Example of Knowledge-Based Enterprise Model Usage for Different UML Behavioral Models Generation.- BIS Education Workshop.- Reconsidering the Challenges of BIS Education in Light of the COVID Pandemic.- COVID-19-related challenges in business information systems education: experiences from Slovenia.- Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt.- Comparative analysis of highly ranked BIS degree programs.- DigBD Workshop.- Multi-Agent System for Weather Forecasting in India.- Towards a Data Collection Quality Model for Big Data Applications.- Investigating the Incorporation of Big Data in Management Information Systems.- The Perception of Test Driven Development in Computer Science - Outline for a Structured Literature Review.- DigEx Workshop.- Influence of Augmented Reality on Consumer Behaviour in Online Retailing.- Personality Based Data-driven Personalizationas as an Integral Part of the Mobile Application.- iCRM Workshop.- Social CRM as a business strategy: developing the dynamic capabilities of Micro and Small Businesses.- Gaining Insights on Student Satisfaction by applying Social CRM techniques for Higher Education Institutions.- Understanding Customer-induced Orchestration of Services: A Review of Drivers and Concepts.- QOD Workshop.- A high-resolution urban land surface dataset for the Hong Kong-Shenzhen area.- Review of literature on Open Data for scalability and operation efficiency of electric bus fleets.- Challenges of Mining Twitter Data for Analyzing Service Performance: A Case study of Transportation Service in Malaysia.- Data quality assessment of comma separated values using linked data approach.- Spatio-temporal data sources integration with ontology for road accidents analysis.- BITA Workshop.- IT-Service Value Modeling: A Systematic Literature Analysis.- Consolidating Academic and Practical Guidelines for Digital Transformation.- Integrated Security Management of Public and Private Sector for Critical Infrastructures - Problem Investigation.- Market Launch and Regulative Assessment of ICT-based Medical Devices: Case Study and Problem Definition.- BSCT Workshop.- A Probabilistic Logic Model of Lightning Network.- Enabling Electronic Bills of Lading by Using a Private Blockchain.- Modeling the Resilience of the Cryptocurrency Market to COVID-19.- Fast payment systems dynamics: lessons from diffusion of innovation models.- A Meta-Review of Blockchain Adoption Literature in Supply Chain.

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Book SynopsisThis book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.Table of Contents1. Introduction.- 2. Deep Digital Identity for Big Data Privacy and Security.- 3. Behavioral Biometrics for Security in Smart Cities.- 4. Identity Spoofing and Cyber Attacks.- 5. Intrusion Detection via Deep Learning.- 6. Biometric Blockchain in e-Governance.- 7. e-Voting and Transparent Democracy.- 8. Secured e-Trading with Blockchain.- 9. Healthcare Biometric Blockchain.- 10. Medical Data and Security.- 11. Digital Passport.- 12. Social Smart Cities.- 13. Forensics and Legislation.- 14. Soft Border Control with Digital IDs.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.Table of ContentsOrchestrating Heterogeneous Applications: Motivation and State of the Art.- The SODALITE Approach: an Overview.- The SODALITE Model-driven Approach.- Quality Assurance and Design-time Optimization.- The SODALITE Runtime Environment.- SODALITE in Context.- SODALITE Use Cases.- Toward Impact Generation and Future Research.

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Book SynopsisThis book is the result of four-year work in the framework of the Ibero-American Research Network TICs4CI funded by the CYTED program. In the following decades, 85% of the world's population is expected to live in cities; hence, urban centers should be prepared to provide smart solutions for problems ranging from video surveillance and intelligent mobility to the solid waste recycling processes, just to mention a few. More specifically, the book describes underlying technologies and practical implementations of several successful case studies of ICTs developed in the following smart city areas: • Urban environment monitoring • Intelligent mobility • Waste recycling processes • Video surveillance • Computer-aided diagnose in healthcare systems • Computer vision-based approaches for efficiency in production processes The book is intended for researchers and engineers in the field of ICTs for smart cities, as well as to anyone who wants to know about state-of-the-art approaches and challenges on this field. Table of ContentsArt Graffiti Detection in Urban Images using Deep Learning.- Deep Neural Networks for Passengers’ Density Estimation and Face Mask Detection for COVID-19 in Public Transportation Services.- Epistemic Uncertainty Quantification in Human Trajectory Prediction.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022.The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.

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Book SynopsisThis book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.Table of ContentsIntroduction.- Background of the ETS.- Fundamentals of the ETS.- State-of-the-art Automatic Evaluation Methods.- A Novel Methodology based on Linear Optimization of Metrics for the ETS.- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation.- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation.- Conclusions and future considerations for the ETS.

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Book SynopsisThis book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field.Table of ContentsSpatio-temporal Characteristics of Land-cover Changes in China During 2000-2019.- Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg.- Evaluation and Pattern Optimization of Ecological Space of Chongqing with Remote Sensing Data.- Research on Calculation Model of National Fragile State Based on Climate Vulnerability.- Daily Rainfall Analysis in Indonesia using ARIMA, Neural Network and LSTM.- Development of A Geoinformation Monitoring Module for The Khankalsky Geothermal Deposit in The Chechen Republic.- Mapping Fences in Xilingol Grassland Using High Spatiotemporal Resolution Remote Sensing Data.- Comparative Study on Remote Sensing Image Classifier of Jiulong River Basin.- OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Images.- Analysis of Urban Sprawl and Growth Pattern Using Geospatial Technologies in Megacity, Bangkok, Thailand.- WEB-GIS for Transportation System of Oran City.- Construction Method of City-level Geographic Knowledge Graph Based on Geographic Entity.- Development of Remote Sensing Software Using a Boosted Tree Machine Learning Model Architecture for Professional and Citizen Science Applications.- Fast Construction of Vegetation Polygons Based on Object-oriented Method.- A/B Testing via Continuous Integration and Continuous Delivery.- An Automated Approach for Mapping between Software Requirements and Design Items: An Industrial Case from Turkey.- Code Comprehension for Read-Copy-Update Synchronization Contexts in C Code.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎gerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business and Technology (EMABT), held in Istanbul, between November 06–07, 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎ The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, and innovation, legal issues, business ethics, and firm ‎governance, managerial accounting and firm financial affairs, non-traditional research and creative ‎methodologies. ‎ These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

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Book SynopsisThis book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 22nd International Conference on Web Engineering, ICWE 2022, held in Bari, Italy, in July 2022. The 23 revised full papers and 5 short papers presented were carefully reviewed and selected from 81 submissions. The books also contains 6 demonstration and poster papers, 7 symposium and 5 tutorial papers. They are organized in topical sections named: recommender systems based on web technology; social web applications; web applications modelling and engineering; web big data and web data analytics; web mining and knowledge extraction; web security and privacy; web user interfaces.Table of Contentsrecommender systems based on web technology.- social web applications.- web applications modelling and engineering.- web big data and web data analytics.- web mining and knowledge extraction.- web security and privacy.- web user interfaces.- web mining and knowledge extraction.- web Big Data and Web data analytics.- Mobile Web applications.- web of Things applications.- social Web applications.- web crowdsourcing and human computation.- semantic web.- web ontologies, and Linked Open Data applications.- quality and accessibility aspects of Web applications.- web composition and mashups.- web user interfaces.- web security and privacy.- web programming.- web services, computing, and standards.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.Table of ContentsSoftware Engineering.- Theoretical Computer Science in industrial applications.- Software Engineering Methodologies. Formal and theoretical software engineering methods and techniques.

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Book SynopsisThis book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.Table of ContentsRDF Data and Management.- Fuzzy Sets and Fuzzy Database Modeling.- Fuzzy RDF Modeling.- Persistence of Fuzzy RDF and Fuzzy RDF Schema.- Fuzzy RDF Queries.

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Book SynopsisBusiness shapes have been changed these days. Change is the main dominant fact that change the way of business operations running. Topics such as innovation, entrepreneurship, leadership, blockchain, mobile business, social media, e-learning, machine learning, and artificial intelligence become essential to be considered by each institution within the technology era. This book tries to give additional views on how technologies influence business and marketing operations for insuring successful institutions survival.The world needs to develop management and intelligent business scenario plans that suite a variety of crisis appears these days. Also, business and marketing intelligence should meet government priorities in individual countries and minimise the risk of business disruptions. Business intelligence - the strategies and technology companies that use it to collect, interpret, and benefit from data - play a key role in informing company strategies, functions, and efficiency. However, being essential to the success, many companies are not taking advantage of tools that can improve their business intelligence efforts. Information technology become a core stone in business. For example, the combination of machine learning and business intelligence can have a far-reaching impact on the insights the company gets from its available data to improve productivity, quality, customer service and more. This book is important because it introduces a large number of chapters that discussed the implications of different Information technology applications in business. This book contains a set of volumes which are: 1- Social Marketing and Social Media Applications, 2- Social Marketing and Social Media Applications, 3- Business and Data Analytics, 4- Corporate governance and performance, 5- Innovation, Entrepreneurship and leadership, 6- Knowledge management, 7- Machine learning, IOT, BIG DATA, Block Chain and AI, 8- Marketing Mix, Services and Branding.Table of ContentsAssessment of the Perception of Usage of Facebook as a Business Tool in SMEs through the Technological Acceptance Model (TAM) and Structural Equation Modeling.- Interdependencies and Integration of Smart Buildings and Smart Cities: A Case of Dubai.- Strategic leadership and its role on implementing public policies in the government departments in Karak Governorate.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, held in Vienna, Austria during August 2022.The 23 full papers presented were carefully reviewed and selected from 45 submissions. The papers are covering a wide range from integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.Table of ContentsExplain to Not Forget: Defending Catastrophic Forgetting with XAI.- Approximation of SHAP values for Randomized Tree Ensembles.- Color shadows (part I): exploratory usability evaluation of activation maps in radiological machine learning.- Effects of Fairness and Explanation on Trust in Ethical AI.- Towards Refined Classifications driven by SHAP explanations.- Global Intepretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration.- The ROC Diagonal is not Layperson’s Chance: a New Baseline Shows the Useful Area.- Debiasing MDI Feature Importance and SHAP values in Tree Ensembles.- The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap.- Identifying Fraud Rings Using Domain Aware Weighted Community Detection.- Capabilities, limitations and challenges of style transfer with CycleGANs: a study on automatic ring design generation.- Semantic Causal Abstraction for Event Prediction.- An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments.- Towards Generating Financial Reports From Tabular Data Using Transformers.- Evaluating the performance of SOBEK text mining keyword extraction algorithm.- Classification of Screenshot Image Captured in Online Meeting System.- A survey on the application of virtual reality in event-related potential research.- Visualizing Large Collections of URLs Using the Hilbert Curve.- How to Reduce the Time Necessary for Evaluation of Tree-based Models.- An Empirical Analysis of and Guidelines for Synthetic-Data-based Anomaly Detection.- SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients.- Comparing machine learning correlations to domain experts’ causal knowledge: Employee turnover use case.- Machine learning and knowledge extraction to support work safety for smart forest operations.

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Book SynopsisNowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, EKAW 2022, held in Bolzano, Italy, in September 2022. The 11 full papers presented together with 5 short papers were carefully reviewed and selected from 57 submissions The previous event in the series, EKAW 2020, introduced a special theme related to “Ethical and Trustworthy Knowledge Engineering.” This theme is still very relevant in 2022, and thus has remained one of the core topics of the conference.The conference concerned with all aspects about eliciting, acquiring, modeling and managing knowledge, and the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and much more.Table of ContentsBasic Human Values and Moral Foundations Theory in ValueNet Ontology.- Extending Ontology Engineering Practices to Facilitate Application Development.- MultiAligNet: Cross-Lingual Knowledge Bridges between Words and Senses.- Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines.- New Strategies for Training Knowledge Graph Embeddings: the Recommendation Case.- Documenting the Creation, Manipulation and Evaluation of Links for Reuse and Reproducibility.- Should we afford affordances? Injecting ConceptNet knowledge into BERT-based models to improve commonsense reasoning ability.- Towards a Knowledge Graph of Health Evolution.- Beyond Causality: Representing Event Relations in Knowledge Graphs.- Evaluating the Interpretability of Threshold Operators.- EBOCA: Evidences for BiOmedical Concepts Association Ontology.- Counter Effect Rules Mining in Knowledge Graphs.- A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets.- Human-centric Ontology Evaluation: Process and Tool Support.- Towards Pragmatic Explanations for Domain Ontologies.- Quasi-equivalent concept trade-off in ontology design: initial considerations and analyses.

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Book SynopsisThis book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions.

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Book SynopsisThis textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Topics and features: Focuses on approaches supported by mathematical arguments, rather than sole computing experiences Investigates conditions under which numerical algorithms used in data science operate, and what performance can be expected from them Considers key data science problems: problem formulation including optimality measure; learning and generalization in relationships to training set size and number of free parameters; and convergence of numerical algorithms Examines original mathematical disciplines (statistics, numerical mathematics, system theory) as they are specifically relevant to a given problem Addresses the trade-off between model size and volume of data available for its identification and its consequences for model parametrization Investigates the mathematical principles involves with natural language processing and computer vision Keeps subject coverage intentionally compact, focusing on key issues of each topic to encourage full comprehension of the entire book Although this core textbook aims directly at students of computer science and/or data science, it will be of real appeal, too, to researchers in the field who want to gain a proper understanding of the mathematical foundations “beyond” the sole computing experience.Table of Contents1. Data Science and its Tasks.- 2. Application Specific Mappings and Measuring the Fit to Data.- 3. Data Processing by Neural Networks.- 4. Learning and Generalization.- 5. Numerical Algorithms for Network Learning.- 6. Specific Problems of Natural Language Processing.- 7. Specific Problems of Computer Vision.

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Book SynopsisThis book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Through thorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The collected research results could be useful alternatives and implications for industry experts, research institutions, universities, and all others who share a common interest in the future global sustainable development.

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Book SynopsisData has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields of action: Which structures need to be created? Which systems and processes have proven beneficial? How can the quality of the data be ensured and what requirements exist for a data-driven organization in the areas of governance and communication? And last but not least: How can employees be brought along on the journey and what implications does the data-driven organization have for our corporate culture? The book presents an orientation and action framework for the strategic and operational design of a data-driven organization and is valuable for managers who are involved in data management in companies and organizations.Table of ContentsForeword1 Background and drivers of the data-driven organization 2 Characteristics of the data-driven organization 3 Challenges and barriers of the data-driven organization 4 Process Mode for Data Management 5 Process model for implementing the data-driven organization 6 Closing words

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