Abstract: This book covers relations between social and cultural structures, power, and interaction in communities, social media, and literature. The areas range from politics and urban planning to literature and education. The collected chapters were presented at the Sixth ‘Networks in the Global World’ conference held on June 22–24, 2022. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The topics covered by the chapters cover relations between social and cultural structures, power, and interaction in communities, social media, and literature. The book is useful for practicing researchers, graduate and post-graduate students, and educators interested in social relations, politics, economy, and culture.

Abstract: Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.

Abstract: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Abstract: ECG Signal Classification Based on Neural Network -- A Review of Long Short-Term Memory Approach for Time Series Analysis and Forecasting -- Applying Modified LBP For 2D ECG Images Classification -- Integrating Ontology with Imaging and Artificial Vision for a High-Level Semantic: A Review -- Agent-Based Simulations for Aircraft Boarding: A Critical Review -- Adaptive Systems and Materials Technologies in Civil Engineering: A review -- A New Method for EEG signals Classification Based on RBF NN -- Intelligent Fault Detection of Rotating Machinery Using Long-Short-Term Memory (LSTM) Network -- What People Post During the Movement Control Order (MCO): A Content Analysis of Instagram’s Top Posts -- A Comparative Study on the Recognition of English and Arabic Handwritten Digits Based on the Combination of Transfer Learning and Classifier.

Abstract: This book sheds light on the recent research directions in intelligent systems and their applications. It involves four main themes: artificial intelligence and data science, recent trends in software engineering, emerging technologies in education, and intelligent health informatics. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.

Abstract: Motivation and Outline -- A General Description of Measuring Devices: Plan -- A General Description of Measuring Devices: First Step – Finite Set of Possible Outcomes -- A General Description of Measuring Devices: Second Step – Pairs of Compatible Outcomes -- A General Description of Measuring Devices: Third Step – Subsets of Compatible Outcomes -- A General Description of Measuring Devices: Fourth Step – Conditional Statements about Possible Outcomes -- A General Description of Measuring Devices: Fifth Step – Disjunctive Conditional Statements about the Possible Outcomes -- A General Description of Measuring Devices: Summary -- Physical Quantities: A General Description -- Properties of Physical Quantities -- Future Work.

Abstract: This book is about methodological aspects of uncertainty propagation in data processing. Uncertainty propagation is an important problem: while computer algorithms efficiently process data related to many aspects of their lives, most of these algorithms implicitly assume that the numbers they process are exact. In reality, these numbers come from measurements, and measurements are never 100% exact. Because of this, it makes no sense to translate 61 kg into pounds and get the result—as computers do—with 13 digit accuracy. In many cases—e.g., in celestial mechanics—the state of a system can be described by a few numbers: the values of the corresponding physical quantities. In such cases, for each of these quantities, we know (at least) the upper bound on the measurement error. This bound is either provided by the manufacturer of the measuring instrument—or is estimated by the user who calibrates this instrument. However, in many other cases, the description of the system is more complex than a few numbers: we need a function to describe a physical field (e.g., electromagnetic field); we need a vector in Hilbert space to describe a quantum state; we need a pseudo-Riemannian space to describe the physical space-time, etc. To describe and process uncertainty in all such cases, this book proposes a general methodology—a methodology that includes intervals as a particular case. The book is recommended to students and researchers interested in challenging aspects of uncertainty analysis and to practitioners who need to handle uncertainty in such unusual situations.

Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.

Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.

Abstract: This 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.

Abstract: The ICISAT’2022 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICIS1T’2022 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2022 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2022 includes selected papers from the 12th International Conference on Information Systems and Advanced Technologies “ICISAT’2022”, organized online during August 26–27, 2022. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.

Abstract: Keys to Successful Product and Process Innovation through Soft TQM: An ANN Approach -- Big Data Techniques and internal control: An Evidence from Egypt -- What is stopping you from using mobile payment in Oman? -- Social Media Influencer Marketing: How Influencer Content help? -- Adoption Decision and Alleviation of Mobile Payment -- Blockchain Technology in Malaysian Estate Distribution: A Systematic Review -- An Overview of the Smart Grid attributes, Architecture and Components -- The Mobile Attacks under Internet of Things Networks -- An Overview of Blockchain-based IoT Architectures and Designs -- Modeling and Performance Evaluation of Solar Cells Using I-V curve Analysis.

Abstract: This book sheds light on the recent research directions in intelligent systems and their applications. It involves two main themes, including management information systems and advances in information security and networking. The discussion of the most recent designs, advancements, and modifications of intelligent systems, as well as their applications, is a key component of the chapters contributed to the aforementioned subjects.

Abstract: An Introduction to Blockchain Technology: Recent Trends -- Bitcoin: Beginning of the Cryptocurrency Era -- HR Digital Transformation: Blockchain for Business -- Securing Electronic Health Record System in Cloud Environment Using Blockchain Technology -- Blockchain: The foundation of trust in Metaverse -- Survey on Blockchain Technology and Security Facilities in Online Education -- A Govern Chain – Integration of Government Function with Blockchain Technology -- Blockchain in Healthcare: A Review -- Blockchain: A Study of New Business Model -- Understanding the Blockchain Technology Adoption in Transportation Management: Application in Trucking Industry.

Abstract: This book provides insights on blockchain technology and its applications in real-world business, supply chain, health care, education, HRM, retail, logistics and transport industries. This book grants a comprehensive understanding of how this technology is functioning within modern real-world applications and how it can influence the future of the real-world applications in industry. The chapters cover the case study, applications of blockchain, benefits and challenges, disruptive innovations in real-world applications, privacy and security concerns, and the recent trends of blockchain in real-world applications. It is ideally intended for marketers, advertisers, brand managers, executives, managers, IT specialists and consultants, researchers, businesses, practitioners, stakeholders, academicians, and students interested in blockchain technology and its role in supply chain, health care, education, HRM, retail, logistics and transport industries.

Abstract: Research on Development of Sponsorship Effect Analysis Module Using Text Mining Technique -- A Study on the Relationship between ESG News Keywords and ESG Ratings -- Development of Associated Company Network Visualiza-tion Techniques using Company Product and Service In-formation – Using Cosine Similarity Function -- Hybrid CNN-LSTM based time series data prediction model study -- A Study on Predicting Employee Attrition Using Machine Learning -- A study on the Intention to continue using a Highway Driving assistance (HDA) system based on Advanced Driver Assistance System (ADAS) -- Security Policy Deploying System for Zero Trust Environment -- TTY Session Audit Techniques for Linux Platform1 -- A Study on the Role of Higher Education and Human Re-sources Development for Data Driven AI Society -- The Way Forward for Security Vulnerability Disclosure Policy: Comparative Analysis of US, EU, and Nether-lands -- Study on Government Data Governance Framework: based on the National Data Strategy in the US, the UK, Australia, and Japan -- A Study on the Attack Index Packet Filtering Algorithm Based on Web Vulnerability -- Analysis of IoT research topics using LDA Modeling -- Log4j Vulnerability Analysis and Detection Pattern Pro-duction Technology based on Snort Rules -- A Study on Technology Innovation at Incheon International Airport: Focusing on RAISA.

Abstract: This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. 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. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. 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, 15 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.

Abstract: From Smart Devices to Smarter Systems: The Evolution of Artificial Intelligence of Things (AIoT) with Characteristics, Architecture, Use cases and Challenges -- AI enabled human and machine activity monitoring in Industrial IoT systems -- AI Model for Block-chain Based Industrial IoT and Big Data Analytics -- SIMDPS: Smart Industry Monitoring And Disaster Prediction System -- An Artificial Intelligence Based Sustainable Approaches - IoT Systems for Smart Cities -- Empowering Artificial Intelligence of Things (AIoT) toward Smart Healthcare Systems -- AI Enabled Internet of Medical Things In Smart Healthcare -- AI Model for Blockchain based Industrial Application in Healthcare IoT.

Abstract: The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

Abstract: Computational Thinking Design Application for STEAM Education -- Education Data for Science: Case of Lithuania -- Imbalanced Data Classification Approach Based on Clustered Training Set -- Baltic States in Global Value Chains: Quantifying International Production Sharing at Bilateral and Sectoral Levels -- The Soft Power Of Understanding Social Media Dynamics: A Data-Driven Approach -- Bootstrapping Network Autoregressive Models for Testing Linearity -- Novel data science methodologies for essential genes identification based on network analysis -- Acoustic Analysis for Vocal Fold Assessment - Challenges, Trends, and Opportunities -- The Paradigm of an Explainable Artificial Intelligence (XAI) and Data Science (DS) Based Decision Support System (DSS) -- Stock Portfolio Risk-Return Ratio Optimisation using Grey Wolf Model -- Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems.

Abstract: This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.

Abstract: 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 are 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. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide 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.

Abstract: Natural Language Processing for Requirements Formalization: How to Derive New Approaches? -- Left Recursion by Recursive Ascent -- An Example of Computation in Interactive Granular Computing -- Extended Future in Testing Semantics for Time Petri Nets -- Toward Recommender Systems Scalability and Efficacy.

Abstract: This book presents novel approaches to the formal specification of concurrent and parallel systems, mathematical models for describing such systems, and programming and verification concepts for their implementation. A special emphasis is on methods based on artificial intelligence and machine learning techniques. Chapters are revised selected papers from the 29th International Workshop on Concurrency, Specification, and Programming (CS&P 2021), Berlin, Germany. Nine independent chapters cover formal approaches to topics such as requirements formalization, parsing, or granular computing, as well as their applications in recommender systems, decision making, security, optimization, and other areas. The book thus addresses both researchers and practitioners in its field.

Abstract: Technological and Institutional Framework for the Dissemination and Use of Big Data -- Big Data for the Digital Economy -- Application of Big Data in Digital Business by Sectors -- Cooperative Mechanism for the Dissemination and Use of Big Data in the Information Society -- Case Study on the Application of Big Data in the Digital Economy of the Eurasian Economic Union.

Abstract: This book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data. .

Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2023 International Conference on Information Technology & Systems (ICITS'23), held at Universidad Nacional de San Antonio Abad del Cusco, in Cusco, Peru, between the 24th and the 26th of April 2023. 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. .

Abstract: The Smart C3 Model – Smart Citizens, Communities and Cities -- Connected Citizens are Smart Citizens -- Keystone for Smart Communities - Smart Households -- Smart communities -- Smart communities and cities as a unified concept.

Abstract: This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.

Abstract: This book sheds light on the fundamental and innovative topics in information systems and their societal impact on individuals and organizations. It mainly focuses on the role of artificial intelligence in organizations, human-computer interaction, IS in education and industry, and IS security, privacy, and trust. The outcomes are expected to assist the decision-makers in formulating the required policies and procedures for using cutting-edge technologies.

Abstract: Passenger Flow Control in Subway Station with Card-Swiping Data -- On Anomaly Detection in Graphs as Node Classification -- Agriculture Stimulates Chinese GDP: A Machine Learning Approach -- Short Message Service Spam Detection using BERT -- A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources -- Student Achievement Predictive Analytics Based on Educational Data Mining -- Prediction and Analysis of COVID-19's Prevention and Control Based on AnyLogic in the Background of Big Data -- Distributed Multi-source Service Data Stream Processing Technology and Application in Power Grid Dispatching System -- NVLSM: Virtual Split Compaction on Non-volatile Memory in LSM-tree KV Stores -- Evaluation of the Performance Character of SPIRIT Value through Pancasila Education during the Covid-19 Pandemic -- Is it Possible to Instilling Character SPIRIT Values through Civic Education during COVID-19 Pandemic? -- An Adaptive Self-detection and Self-classification Approach Using Matrix Eigenvector Trajectory -- Super-Resolution Virtual Scene of Flight Simulation Based on Convolutional Neural Networks -- User Assignment for Full-Duplex Multi-user System with Distributed Aps -- CDN Service Detection Method Based on Machine Learning -- A Decision Method for Missile Target Allocation -- A Physical Ergonomics Study on Adaptation and Discomfort of Student’s E-Learning in the Philippines during the COVID-19 Pandemic.

Abstract: This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.

Abstract: Application of Artificial Intelligence in the Food Industry: AI-based Automatic Pruning of Dormant Apple Trees -- Wheat Leaf-Disease Detection Using Machine Learning Techniques for Sustainable Food Quality -- Explainable AI and Slime Mould Algorithm for Classification of Pistachio Species -- A Support Vector Machine Model for Rice (Oryza sativa L.) Leaf Diseases Based on Particle Swarm Optimization -- CNN in Agriculture and Food Industry: Current Practices and Future Trends -- Utilization of Artificial Intelligence in the Food Industry -- Transfer learning-based models for Arabica coffee leaf disease classification -- Potential of IoT for Water Monitoring to Upgrade Food Quality -- .

Abstract: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.

Abstract: MoveLeg: An assistive device for the motor tele-rehabilitation of the lower limbs -- Association between objectively measured shoulder kinematics and fear avoidance beliefs in women with Latissimus Dorsi flap breast reconstruction -- Validity of Using a Driving Game Simulator to Study the Visual Attention Differences in Young and Older Adults -- Swarm Intelligence based Multi-agent Communication Model for securing Healthcare Ecosystem -- Study of different seat allocation strategies to reduce the risk of contagion among passengers in a public road transport system -- Generation and classification of illicit Bitcoin transactions -- Following negationists on Twitter and Telegram: Application of NCD to the analysis of multiplatform misinformation dynamics.

Abstract: This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, both study areas have gained great interest in industry and academia due to the benefits of using smart solutions in various application domains, such as health care, ambient-assisted living, personal security and privacy, citizen participation, provision of urban services, and precision agriculture and farming. The articles included in this book report solutions and provide empirical results on their suitability to address problems and opportunities in these application domains. The articles also include discussions on how the proposals and their evaluation results inform the design of the next generation of ubiquitous and smart systems. Researchers, practitioners, and graduate students take advantage of this knowledge to address innovation and engineering aspects of smart and ubiquitous solutions for the next decade.

Abstract: Understanding Risk -- Standard Risk Metrics -- Risk in Digital Assets -- Networks of Risk -- Analyzing Rare Risks -- Humans in the Network.

Abstract: This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and show how they can be built upon to better understand the workings of the modern economy. Later chapters review digital activities and assets like cryptocurrencies showing how such emergent risks can be conceptualized better. Network theory figures prominently and the book demonstrates how it can be used to gauge the risk in the digital sectors of the economy. Predicting the unpredictable black swan events is also discussed in view of a wider adoption of economic simulations. The journey concludes by looking at how individuals perceive risk and make decisions as they operate in a virtual social network. This book interests the academic audience, but it also features insights and novel research results that are relevant for practitioners and policymakers. .

Abstract: LSTM Based Advanced Fake News detection -- Effect of Entrepreneurial Education on Entrepreneurial Intention: Mediating role of Entrepreneurs Personality Traits -- Dress Pattern Classification using ResNet based Convolutional Neural Networks -- Simulation of Internet of Things Network for Big Data Analytics -- An Empirical Review on Brain Tumor Classification Approaches -- An approach for Theft Detection and Alerting System.

Abstract: This multidisciplinary book delves into information systems’ concepts, principles, methods and procedures and their innovative applications in management science and other domains, including business, industry, health care and education. It will be valuable to students, researchers, academicians, developers, policymakers and managers thriving to improve their information and management systems, develop new strategies to solve complex problems and implement novel techniques to utilise the massive data best. This book of Information Systems and Management Science (proceedings of ISMS 2021) is intended to be used as a reference by scholars, scientists and practitioners who collect scientific and technical contributions concerning models, tools, technologies and applications in the field of information systems and management science. This book shows how to exploit information systems in a technology-rich management field.

Abstract: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.

Abstract: Supply Chain Management -- Performance Evaluation of Supply Chain Management -- Main models and approaches in supply chain evaluation -- Supplier Performance Evaluation Models -- Examining supply chain crises and disruptions -- Data Envelopment Analysis -- Supplier selection.

Abstract: The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field. This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model. .

Abstract: Data Integration in Practice: Academic Finance Analytics Case Study -- Proposal of an Aquarium Design Support Virtual Reality System -- The Source Code Maintenance Time Classifications from Code Smell -- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling -- The Model of Improving the Quality of Government Financial Reporting -- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure -- Mustahik Micro Business Incubation in Poverty Alleviation -- Schemes for a Transient Eddy-current Problem On an Unbounded Area -- Zakat Management Model Based on ICT -- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model -- A Kind of Online Game Addictive Treatment Model about Young Person -- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior -- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey -- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform -- Traffic-oriented Shellcode Detection Based on VSM -- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.

Abstract: This book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.

Abstract: Chapter 1: Malware Detection Using RGB Images and CNN Model Subclassing -- Chapter 2: IoT Trust Management as an SIoT Enabler Overcoming Security Issues -- Chapter 3: Cloud Virtualization Attacks and Mitigation Techniques -- Chapter 4: Android Ransomware Attacks Detection with Optimized Ensemble Learning -- Chapter 5: A Dual Attack Tree Approach to Assist Command and Control Server Analysis of the Red Teaming Activity -- Chapter 6: Intelligent Detection System for Spoofing and Jamming Attacks in UAVs.

Abstract: This book gathers the proceedings of the International conference on Cybersecurity, Cybercrimes, and Smart Emerging Technologies, held on May 10–11, 2022, in Riyadh, Saudi Arabia. The conference organized by the College of Computer Science of Prince Sultan University, Saudi Arabia. This book provides an opportunity to account for state-of-the-art works, future trends impacting cybersecurity, cybercrimes, and smart emerging technologies, that concern to organizations and individuals, thus creating new research opportunities, 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. CCSET 2022 was devoted to advances in cybersecurity, cybercime, and smart emerging technologies. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 89 paper submissions from 25 countries. Each submission was reviewed by at least three chairs or PC members and 26 regular papers (30%) were accepted. 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.

Abstract: 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 are 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. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide 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.

Abstract: Conceptual Model and Data algorithm for Modernization of E-governance towards Sustainable E-Government Services -- E-School Initiatives that Instigated the Digital Transformation of Education: A Case Study according to SABER-ICT Framework -- New Architecture to facilitate the expansion of E-Government -- Struggling against tax fraud, a holistic approach using artificial intelligence -- e-Government and Green IT: the intersection point -- Machine Learning Technique for Predicting the Rural Citizens’ Trust on using E-Governance Health Care Applications during COVID-19 -- Artificial Intelligence (AI) Use for e-Governance in Agriculture: Exploring the Bioeconomy Landscape -- Enhancing government actions against Covid-19 using computer science -- From paper to digital: e-government's evolution and pitfalls in Brazil -- The role of public libraries in improving public literacy through Twitter social media in Indonesia.

Abstract: This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.

Abstract: Introduction -- From sensorial capacities to symbolic forms (with particular reference to odor and color) -- The morphogenesis of symbolic forms in music -- The morphogenesis of visual symbolic forms (art, architecture, and urban structures) -- The morphogenesis and self-organization of myth and religion -- The morphogenesis of language and morphodynamic grammar -- Peirce’s semiotics, Cassirer’s philosophy of culture, and the epistemology of semiotics -- Final reflections.

Abstract: In the present book, the starting line is defined by a morphogenetic perspective on human communication and culture. The focus is on visual communication, music, religion (myth), and language, i.e., on the “symbolic forms” at the heart of human cultures (Ernst Cassirer). The term “morphogenesis” has more precisely the meaning given by René Thom (1923-2002) in his book “Morphogenesis and Structural Stability” (1972) and the notions of “self-organization” and cooperation of subsystems in the “Synergetics” of Hermann Haken (1927- ). The naturalization of communication and cultural phenomena is the favored strategy, but the major results of the involved disciplines (art history, music theory, religious science, and linguistics) are respected. Visual art from the Paleolithic to modernity stands for visual communication. The present book focuses on studies of classical painting and sculpture (e.g., Leonardo da Vinci, William Turner, and Henry Moore) and modern art (e.g., Jackson Pollock and Joseph Beuys). Musical morphogenesis embraces classical music (from J. S. Bach to Arnold Schönberg) and political songwriting (Bob Dylan, Leonhard Cohen). The myths of pre-literary societies show the effects of self-organization in the re-assembly (bricolage) of traditions. Classical polytheistic and monotheistic religions demonstrate the unfolding of basic germs (religious attractors) and their reduction in periods of crisis, the self-organization of complex religious networks, and rationalized macro-structures (in theologies). Significant tendencies are analyzed in the case of Buddhism and Christianism. Eventually, a holistic view of symbolic communication and human culture emerges based on state-of-the-art in evolutionary biology, cognitive science, linguistics, and semiotics (philosophy of symbolic forms).

Abstract: 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 are 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. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide 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.

Abstract: TOPSIS Model Establishment in the Context of Internet Finance -- An Analysis of Internet Financial Risk Prevention Strategies from the Perspective of Network Security -- Prediction of Transaction Risk in Financial Market Based on Neural Network Model -- Intelligent Business Model Data Analysis Based on Particle Swarm Optimization -- Multi-dimensional Data Perception and Intelligent Analysis Framework Design of Management Information System -- Resource Transaction Management System Based on PageRank Algorithm -- Research on Intelligent Student Management Evaluation Information System Based on Data Mining Algorithm -- Purchasing Management System Based on Genetic Algorithm -- Credit Risk Prediction Model of Digital Rural Finance Based on PSO-SVM -- Cache High Availability Intelligent Stall Management System Based on Redis Sentinel Mechanism Architecture -- The Application of BIM Technology in the Construction of Project Construction Management Platform -- Innovation of Financing Mode for Small and Micro Enterprises on Digital Finance Technology Algorithm -- Coal Energy Management Estimation System Based on Artificial Intelligence Algorithm -- Establishment of Enterprise Management Information System Based on Big Data Information Technology -- Application Analysis of Intelligent Information Technology in Transaction Management System -- Design of Management Cloud Information System for Residential Buildings Based on High-Performance Computing and Face Recognition Technology -- Development of Student Management System Based on WeChat Public Platform -- Application of Artificial Intelligence Technology in Human Resource Delicacy Management System -- Application of Data Mining Technology (DMT) in Human Resources Assessment Management System.

Abstract: This 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.

Abstract: This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

Abstract: Translating science into actionable policy information – a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist , Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician’s, community partner’s and students’ perspectives on a successful partnership.

Abstract: The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.

Abstract: Nowadays, 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.

Abstract: Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering Blockchain security and trust Blockchain data management.

Abstract: This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.

Abstract: The book is a collection of high-quality peer-reviewed research papers presented at the 18th International Symposium of Organizational Sciences (SymOrg 2022) held in Belgrade, Serbia, from June 11 to June 14, 2022. The aim of the book is providing stimulative framework for readers to explore viable alternatives and indicate implications for the post-pandemic world. Researchers from academia and industry present their original work focusing on different aspects of sustainable management and digital transformation including blockchain technology, business analytics, e-business, innovation, digital operations and logistics management, financial industry, public administration, lean business systems, digital transformation projects, human resources, marketing and communication, and quality and standardization. The chapters are useful for industry experts, research institutions, universities, and all others who share a common interest in contemporary organizational sciences.

Abstract: Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge -- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups -- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text.

Abstract: This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.

Abstract: Living beyond data with Feature Concepts -- Innovation for the Real-World through Knowing Why -- Why Abductive Cognition Goes Beyond Just Learning from Data. .

Abstract: This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events. We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the data market as a place for innovations.

Abstract: This book constitutes the refereed proceedings of the 4th International Congress on Blockchain and Applications 2022, BLOCKCHAIN’22, held in L’Aquila, Italy, in July 2022. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The 37 full papers presented in the main track were carefully reviewed and selected from more than 75 submissions. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in the future research. The book also includes 3 papers from the WEB3-TRUST workshop and 2 papers from the Doctoral Consortium.

Abstract: Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats.

Abstract: As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.

Abstract: This book covers selected high-quality research papers presented in the International Conference on Cyber Security, Privacy and Networking (ICSPN 2022), organized during September 09–11, 2022, in Thailand in online mode. The objective of ICSPN 2022 is to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions and presentations on the most recent cyber security, privacy and networking challenges and developments from the perspective of providing security awareness and its best practices for the real world. Moreover, the motivation to organize this conference is to promote research by sharing innovative ideas among all levels of the scientific community and to provide opportunities to develop creative solutions to various security, privacy and networking problems.

Abstract: D_Modeling and Simulation of Intelligent Building Robot Based on Star Algorithm -- Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm -- Multi-objective Optimization of FCC Separation System Based on Particle Swarm Optimization -- Design of Prefabricated Building Performance Detection System based on Optimized Ant Colony Algorithm -- Risk Detection System of Bridge Construction based on Fast ICA Algorithm -- Research on Optimization of Low-Carbon Logistics Distribution Route Based on Genetic Algorithm -- Optimization Analysis of Uneven Settlement in Pipe Gallery Based on Ant Colony Algorithm -- Multi Objective Optimization of Decoration Engineering Project on Account of Ant Colony Algorithm and BIM -- Design of Decoration Energy Saving Integrated System Based on Genetic Algorithm and BIM -- Electronic Logistics Distribution System with Improved Entity Recognition Algorithm -- Application Analysis of Electric Vehicle Intelligent Charging Based on Internet of Things Technology -- Urban Ecotourism Evaluation System Based on Ant Colony Algorithm -- License Plate Recognition System based on Neural Network -- Design of Mechanical Equipment Fault Detection Robot Based On Electronic Tracing Algorithm -- Application of Mobile Learning App in Smart English Classroom under the Background of Information Technology -- Technical Application and Design of Power Intelligent Platform Based on Winter Olympics -- Water Ecological Health Evaluation System Based on Data Fusion Technology -- Study on Intelligent Terrain Monitoring System and Key Rescue Technology of Construction Machinery.

Abstract: This 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.

Abstract: 1 Multi-Aspect Data Learning: Overview, Challenges and Approaches -- 2 Non-negative Matrix Factorization-Based Multi-Aspect Data Clustering -- 3 NMF and Manifold Learning for Multi-Aspect Data -- 4 Subspace Learning for Multi-Aspect Data -- 5 Spectral Clustering on Multi-Aspect Data -- 6 Learning Consensus and Complementary Information for Multi-Aspect Data Clustering -- 7 Deep Learning-Based Methods for Multi-Aspect Data Clustering.

Abstract: This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.

Abstract: The book (proceedings of the 4th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2022) introduces key topics from artificial intelligence algorithms and programming organisations and explains how they contribute to health care, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and various other fields. Although artificial intelligence (AI) has generated a lot of hype over the past ten years, these consequences on how we live, work, and play are still in their infancy and will likely have a significant impact in the future. The supremacy of AI in areas like speech and picture recognition, navigational apps, personal assistants for smartphones, ride-sharing apps, and many other areas is already well established. The book is primarily meant for academics, researchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry. .

Abstract: Analog on Digital (AoD) Theory-based Design of Book Application for Representing Real-life Experience -- The Modelling And Designing of Tourism Activity Locator Application -- Development of Drawing Software That Gives a Staple Drawing Feeling by the Difference in Sound -- The Impact of Video Conference Application to College Students in Online Learning Activities -- Proposal for a Theatre Optique Simulated Experience Application -- A Classification and Analysis Focusing on Attempts to Give a Computer a Personality: A Technological History of Chatbots as Simple Artificial Intelligence -- With Post-Internet Society, The Third Agent -- Research on Digital Reading Experience with ‘Page-turning’ Physical Feedback -- Method of Extracting Community Colors with Local Characteristics in Landscape Planning: Planning the Color Scheme for the Taisetsu-Furano Route of the Scenic Byway Hokkaido -- Non-pharmacological Treatment of Dementia from the Perspective of Applied Informatics -- Research Methods to Build A Reference Model for Designing Addiction-aware Video Game -- TrAcOn: a Traffic Accident Ontology for Identifying Accidents-prone Areas in Senegal -- Ontology Partitioning for Managing Change Effects -- The Effect of Digital Marketing on Micro, Small and Medium Enterprise in Indonesia -- Bidirectional Associative Memory as Normalisator Backpropagation Neural Network in The Signature Image Training -- Author Index.

Abstract: This book aims to share the theory and practice in innovative human/society-oriented information systems. The purpose of information technology is for people, communities, and societies, and we cannot ignore the human behavior and social features to design better information systems. The book includes the selected papers in the International Conference on Applied Informatics and Media Design 2019 (AIMD 2019) held at California State University, Bakersfield, USA, and International Conference on Applied Information Technologies 2021 (AIT 2021) held online, which are focused on information design, human–computer interaction, and social support systems. The book also contains multi-aspect contributions on applied informatics and media engineering, such as color design, online learning, creativity support, philosophical issues, elder treatment, AI, and business informatics.

Abstract: This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.

Abstract: This book includes selecting the articles accepted for presentation and discussion at WCQR2023, held from January 25 to 27, 2023 (face to face and virtual conference). The World Conference on Qualitative Research (WCQR) is an annual event that aims to bring together researchers, academics and professionals, promoting the sharing and discussing knowledge, new perspectives, experiences and innovations in qualitative research. WCQR2023 featured four main application fields (education, health, social sciences and engineering/technology) and seven main subjects: rationale and paradigms of qualitative research; systematization of approaches with qualitative studies; qualitative and mixed methods research; data analysis types; innovative processes of qualitative data analysis; qualitative research in web context; and qualitative analysis with software support. The book is valuable for everyone interested in qualitative research, emphasizing Computer-Assisted Qualitative Data Analysis Software (CAQDAS).

Abstract: Development of Cognitive Intelligent Mechanism for Sustainability of Bigdata: A Future Shape of Metaverse -- Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy -- Metaverse for Brain Computer Interface: Towards New and Improved Applications -- The Future of Metaverse in the Virtual Era and Physical World: Analysis and applications -- The Use of Metaverse in the Healthcare Sector: Analysis and Applications -- The ethics of the Metaverse and Digital Virtual Environments: the Metavethics.

Abstract: This book is divided into three parts. The first part discusses the Metaverse's basics, development, and optional applications such as 3D virtual dressing room-based user-friendly Metaverse, the use of Metaverse in the healthcare and environment sectors as well as the ethics of the Metaverse and digital virtual environments. Part two presents some chapters that discuss emerging technologies in the Metaverse world including IoT, digital twining, and artificial intelligence and shows its impact on climate change. The third part contains chapters discussing cybersecurity in the Metaverse including blockchain technology opportunities and applications and the threat of the digital humanities in the Metaverse. The book is suitable for students and academics aiming to build up their background on the Future of the Metaverse in the Virtual Era and Physical World. .

Abstract: Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters.

Abstract: This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.

Abstract: Serverless Computing: New Trends and Future Directions -- Punching Holes in the Cloud: Direct Communication Between Serverless Functions -- Hybrid Serverless Computing: Opportunities and Challenges -- A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing Environments -- Open-Source Serverless for Edge Computing: A Tutorial -- Accelerating and Scaling Data Products With Serverless -- QoS Analysis for Serverless Computing using Machine Learning -- A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications -- Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing -- Scheduling Mechanisms in Serverless Computing -- Serverless Cloud Computing: State of the Art and Challenges.

Abstract: This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.

Abstract: 1. Background on Reinforcement Learning and Optimal Control -- 2. H-infinity Control Using Reinforcement Learning -- 3. Robust Tracking Control and Output Regulation -- 4. Interleaved Robust Reinforcement Learning -- 5. Optimal Networked Controller and Observer Design -- 6. Interleaved Q-Learning -- 7. Off-Policy Game Reinforcement Learning -- 8. Game Reinforcement Learning for Process Industries.

Abstract: This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player systems. A concise description of classical reinforcement learning (RL), the basics of optimal control with dynamic programming and network control architectures, and a brief introduction to typical algorithms build the foundation for the remainder of the book. Extensive research on data-driven robust control for nonlinear systems with unknown dynamics and multi-player systems follows. Data-driven optimal control of networked single- and multi-player systems leads readers into the development of novel RL algorithms with increased learning efficiency. The book concludes with a treatment of how these RL algorithms can achieve optimal synchronization policies for multi-agent systems with unknown model parameters and how game RL can solve problems of optimal operation in various process industries. Illustrative numerical examples and complex process control applications emphasize the realistic usefulness of the algorithms discussed. The combination of practical algorithms, theoretical analysis and comprehensive examples presented in Reinforcement Learning will interest researchers and practitioners studying or using optimal and adaptive control, machine learning, artificial intelligence, and operations research, whether advancing the theory or applying it in mineral-process, chemical-process, power-supply or other industries.

Abstract: Novel Dynamometer: the Gripwise -- Software Configurable Hardware-based Remote Laboratory System -- Software Configurable Hardware-based Remote Laboratory System -- Printed Wearable Accessories For Electrochemical Applications -- AES Hardware Implementation Based On FPGA With Improved Throughput -- The Impact of Digitization on the Romanian Music Therapists -- New Laccase Portable Monitor -- Remote Microelectronics Experimentation based on VISIR Remote Laboratory: Expanding VISIR Functionalities -- Development Of a Simulator Tool For Teaching The Autonomous Vehicles Behavior -- Work in Progress: Hardware Design of a Smart Wristband Used for Epileptic Seizure Detection.

Abstract: Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. 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. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference 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. 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. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.

Abstract: This 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. .

Abstract: The All-Human Space of Transformation: Technology and Culture -- Modern technologies for teaching languages and their role in the development of a global technogenic civilization -- The Four-Dimensionality of Utility as a Philosophic Category -- Working Knowledge: What Do I Know about How I do Something? -- Social Interaction with Non-Anthropomorphic Technology -- The necessity of forming multilingual competencies in the educational process digitalization -- Foreign Language Anxiety in Multilingual Students before and after Corona-Lockdown: A Comparative Analysis -- The Technologies of Higher Education Digitalization in Modern Conditions -- Checklist as a Working Tool for the Formation of Digital Literacy of BIM-specialists in the Multilingual World.

Abstract: The book addresses the challenge of living in a multilingual world from three perspectives: socio-linguistics and the study of multilingualism in contrast, philosophy of technology with its emphasis on the world as a technosphere—how it is made, how it is experienced, and how it can be managed, and then pedagogy and the question of teaching and learning to competently negotiate multilingual environments. In today‘s multicultural and multilingual world, technologies provide a common ground. The story of the technosphere as a multilingual environment offers new perspective, namely that of learning to cooperate and coordinate.

Abstract: Chapter 1: Proposal of a Middleware to Support Development of IoT Firmware Analysis Tools -- Chapter 2: Feature-Based Cloud Provisioning for Rehosting -- Chapter 3: Pattern to Improve Reusability of Numerical Simulation -- Chapter 4: SpiderTailed: A Tool for Detecting Presentation Failures Using Screenshots and DOM Extraction.

Abstract: This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.

Abstract: This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence.

Abstract: Introduction -- (Rational) Individual Decision Making: Main Ideas -- (Rational) Group Decision Making: General Formulas and a New Simplified Derivation of These Formulas -- How We Can Control Group Decision Making By Modifying the Proposed Options -- The Fact That We Can Only Have Approximate Estimates Explains Why Buying and Selling Prices Are Different -- The “No Trade Theorem” Paradox -- People Make Decisions Based on Clusters Containing Actual Values -- When Revolutions Succeed -- How People Combine Utility Values -- Biased Perception of Time -- Few-Parametric Spatial Models and How They Explain Bhutan Landscape Anomaly -- Dynamic Triggering of Earthquakes -- Applications to Computing: Representing Functions in Quantum -- and Reversible Computing.

Abstract: This book describes new techniques for making decisions in situations with uncertainty and new applications of decision-making techniques. The main emphasis is on situations when it is difficult to decrease uncertainty. For example, it is very difficult to accurately predict human economic behavior, so in economics, it is very important to take this uncertainty into account when making decisions. Other areas where it is difficult to decrease uncertainty are geosciences and teaching. The book analyzes the general problem of decision making and shows how its results can be applied to economics, geosciences, and teaching. Since all these applications involve computing, the book also shows how these results can be applied to computing, including deep learning and quantum computing. The book is recommended to researchers, practitioners, and students who want to learn more about decision making under uncertainty—and who want to work on remaining challenges.

Abstract: COVID-19 Pandemic: Theory, Concepts and Challenges -- SARS-CoV-2 Infection and Antibody-Dependent Enhancement -- Application of Deep Learning Techniques for COVID-19 Management -- Geographic spread and control of 2019-nCoV in the absence of vaccine -- An integrated GIS/GPS based e-Governance approach for different agencies to fight againstCOVID-19 -- Deep Learning for COVID-19. .

Abstract: This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers. .

Abstract: Part I – Cyber Security Education -- An Integrated System for Connecting Cybersecurity Competency, Student Activities and Career Building -- Simulating Industrial Control Systems using Node-RED and Unreal Engine 4 -- Student Educational Learning Experience Through Cooperative Research -- Digital Forensics Education: Challenges and Future Opportunities -- Designing a Cybersecurity Curriculum Library: Best Practices from Digital Library Research -- Design of a Virtual Cybersecurity Escape Room -- Part II – Cyber Security Technology -- A Novel Method for the Automated Generation for JOP Chain Exploits -- Increasing Log Availability in Unmanned Vehicle Systems -- Testing Detection of K-Ary Code Obfuscated by Metamorphic and Polymorphic Techniques -- Enhancing Secure Coding Assistant System with Design by Contract and Programming Logic -- Social Engineering Attacks in Healthcare Systems: A Survey -- Identifying Anomalous Industrial-Control-System Network Flow Activity Using Cloud Honeypots -- Risks of Electric Vehicle Supply Equipment Integration within Building Energy Management System Environments: A Look at Remote Attack Surface and Implications.

Abstract: This 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.

Abstract: This book is composed of selected papers from the Sixteenth National Conference on Operational and Systems Research, BOS-2020, held on December 14-15, 2020, one of premiere conferences in the field of operational and systems research. The second is the Nineteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2020, held on December 10-11, 2020, in Warsaw, Poland, in turn—one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the generalized nets (GNs), an important extension of the traditional Petri nets. A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization and—from a substantial point of view—combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making, and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.

Abstract: Dimensions of Creativity -- Creativity in Engineering - Classics of Modern Dialectical Philosophy Revisited -- Work Engagement - Gateway to Creativity -- Cosmos and Metacosmos in Dessauer's philosophy of technology: The invention of environment -- Creativity as a Technology -- Talent as a Personality Resource of People with Schizotypal Personality -- Epistemic Foraging and the Creative Process: Crawling over Creation -- Creativity and its Genetic Foundations -- Images of Giftedness and Creativity -- Towards Creation: Sergius Bulgakov And Pavel Florensky On The Relationship Between Scientific And Religious Experience -- Technical and Religious: Concepts and Contemporary Social Practices -- The Omnibenevolence Paradox and the Education Paradox: An Amendment to G. W. Leibniz’s Theodicy -- Creativity in Technosociety -- The Concept of Utility: the Role of Utilitarianism in Formation of A Technological Worldview -- Digital Technologies of the Self: Instrumental Rationality or Creative Integrity? -- National Judicial Bodies in Search of a Balance of Public and Private Interests -- Remote Work as a Societal Incentive for Creativity: Phygital Initiative for Self-actualization -- The Creative Factor in the Competition between Human and Artificial Intelligence: A Challenge for Labor Law -- Legal Aspects of Artificial Intelligence Application in Artistic Activity -- Creative Solutions and Professional Culture of Prison Staff -- Pressure of Digital Technologies and Students’ Creative Thinking in the Educational System -- Information and Communicative Environment for the Development of Student Creativity and Flexible Skills -- Cultivating Creativity Case: Higher Education in Finland Professional \ -- “Without Electricity/Gravity...” Generating Ideas about the Fate of Civilization -- Green Universities in Orange Economy: New Campus Policy -- A Creative Approach to Creating a Livable Urban Environment -- Mental Maps as a Creative Tool of Marketing Analysis in Education -- Creative Interventions in Corporate Museums and the Transformation of a Company‘s Communication Space -- Ways to Solve the Problems of Employer-Sponsored Education -- Transcreation as a Creative Tool of Translation -- Specialized Periodicals in the Science and Technology Transfer System of Germany and the USSR in 1920-1930s -- Creativity and media culture in modern Kazakhstan -- Art and Technology -- "Progress" in Art in Terms of Semiotic Theory of Creativity -- Transformation of “Alien” Text as a Technology for Generating the New in Russian Drama of the 1990s – 2010s -- Composition and Symmetries in Computational Analysis of the Fine-Art Aesthetics -- Methodological Procedures of the Russian Avant-garde Art and Their Use in the Modern Practice of the Costume Designer -- Quantum fashion as a new technology in costume design -- Movement Technology: from Kinetic Art to Digital Art -- Role of Digital Technologies in the Conceptual Transforming Foundations of Artistic Creativity -- Analysis of Human Behavior as a Condition for Creative Artificial Storytelling -- Artistic Virtual Reality -- Computer Modeling in Musical Creativity: Example of Interdisciplinary Research -- Computer Technologies as Creative Interaction Tools between Far East and Chinese Musical Cultures -- Аnalysis of the Emotional Connotations in Russian Language Text -- Creativity And Emotions in the Digital World -- Integrated Use of Data Mining Techniques for Personality Structure Analysis -- Creativity in education -- Educational Technologies for the Development of Creative Thinking of the Future Engineer -- Cultivating Creativity of Technically-Minded Students -- Creative Projects as a Link between Theory and Practice -- Metacognitive Strategies of Social Intelligence and Creativity through Digital Communication Tools -- An Interdisciplinary Approach to Training Teaching Skills for Intercultural Communicative Competence -- The Issue of Adaptive Learning as Educational Innovation -- Technical University Students’ Creativity Development in Competency-based Foreign Language Classes -- Pedagogical Creativity vs Academic Dishonesty in Teaching University Mathematics -- Cheating and Plagiarism among University Students: Ways of Solving the Problem -- Students' Preferences in Choosing the Form and Means of Interaction with Professors: Innovation or Tradition? -- A Medical University School of Pedagogical Excellence as the Environment for Creativity -- Cross-Disciplinary Code Switching as Means of Encouraging Creativity -- Information Technologies for the Training of Teachers in the Creative Professions -- Challenges of Induction: The Difference between Novice University Teachers with and without Pedagogical Training -- The Experience of Developing Creativity in Future Primary School Teachers -- Forming the Basics of Foreign Language Teachers’ Methodological Creativity during Linguistic Training at a University -- Digital Creative Projects in the Formation of Digital Competence of Teachers of English as a Foreign Language -- The Formation of Analytic Abilities for Coaching Rhythmic Gymnastics -- The Formation of the Creative Teacher’s Personality in the Context of Modern Education -- The Indonesian Customs and Excise Training Center during the COVID-19 pandemic: An innovative System of Educational Process Management -- Best Practice Models -- Technology-based Methods for Creative Teaching and Learning of Foreign Languages -- Methods of Achieving Successful Professional Communication from the Perspective of Intercultural Communication -- Study of the Efficiency of a Multilingual Educational Model -- Video Sketches as the Means to Improve Students’ Creativity in Studying Foreign Languages -- Digital Pedagogical Cues for the Development of Creativity in High School -- Mind Mapping Method in Foreign Language Education: Transformative Effects of a Productive Approach -- The Development of Creative Thinking in Engineering Students through Web-related Language Learning -- The Formation of Translation Competence in the Process of Engineering Education -- Evaluating the Capacity of Foreign Language Speaking Tasks to Stimulate Creativity -- Using a Creative Approach to Teach Russian as a Foreign Language to International Students Majoring in “Music Education” -- The Use of Literary Works for Stimulating Students’ Creativity -- Corpus Linguistic Technology as a Tool to Improve Creative Thinking in the Interpretation of English Language Idioms -- The Influence of Digital Transformations on Learners’ and Educators’ Creativity -- Infographics as a Creative Design Method for Foreign Language Teaching.

Abstract: This book requires an interdisciplinary understanding of creativity, ideal for the formation of a digital public culture. Educating students, young professionals and future engineers is to develop their capacity for creativity. Can creativity be learned? With this question, the relations of technology and art appear in a new light. Especially the notion of "progress" takes on a new meaning and must be distinguished from innovation. The discussion of particular educational approaches, the exploration of digital technologies and the presentation of best practice examples conclude the book. University teachers show how the teaching of creativity reinforces the teaching of other subjects, especially foreign languages.

Abstract: This 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.

Abstract: Workload Scheduling in Fog and Cloud Environments: Emerging Concepts and Research Directions -- A Comprehensive Survey of Estimator Learning Automata and their Recent Convergence Results -- Multimodal Data Fusion. .

Abstract: This book presents new research contributions in the above-mentioned fields. Information and communication technologies (ICT) have an integral role in today’s society. Four major driving pillars in the field are computing, which nowadays enables data processing in unprecedented speeds, informatics, which derives information stemming for processed data to feed relevant applications, networking, which interconnects the various computing infrastructures and cybersecurity for addressing the growing concern for secure and lawful use of the ICT infrastructure and services. Its intended readership covers senior undergraduate and graduate students in Computer Science and Engineering and Electrical Engineering, as well as researchers, scientists, engineers, ICT managers, working in the relevant fields and industries.

Abstract: Application of Big Data to Analyze Illegal Passenger Transportation Offenses -- Directions of Cooperation Relations Development in Russia in Conditions of Digitalization of The Agricultural Sector -- Digital Transformation of the Economy: Dividends and Threats -- Digital Cooperation in the Russian Federation -- The Role of Cooperation and Collaboration in Digital Environment for Sustained Economic Growth -- Consumer Cooperation in the Digital Economy -- Digital Transformation of Consumer Societies: Opportunities and Perspectives -- The Role of Virtual Outsourcing in Ensuring the Effectiveness of Economic Development -- Experimental Modeling of Smart City Development Process Based on Smart City Adaptive Concept Model -- University and Enterprise Cooperation - Effective Solution in the Digital Economy -- Creation and Debugging of a Digital Double-cluster Cooperation Mechanism of Inter-cluster Interaction Under Conditions of Stochastic Uncertainty -- Consolidation Activities of Universities in the Digital Economy -- Employee Skills Management: Competitiveness in the Digital Economy -- Management of Teacher Training in the Digital Economy -- The Relationship Between the Workers Competitiveness and their Labor Mobility in a Digital Economy -- A Study of Young People's Attitudes for Work in the Era of Intelligent Machines -- Sharing Economy as a New Form of Consumer Cooperation in the Digital Age -- “Smart Cooperation” Prospects for Optimizing Decision-Making in Business Cooperation via Artificial Intelligence -- Economic-Mathematical Modeling as a Tool for the Development of Consumer Cooperatives -- Import dependence in the system of marketing phenomena of competition and competitiveness of the cooperative sector of the economy at the meso level -- Socio-psychological Conditions for Forming Trust-Based Relationships between Employees in Commercial Organizations.

Abstract: This book presents a systematic view of the cooperative sector of the economy from the standpoint of sustainable development. On the one hand, the book reveals the consequences of business cooperation for the implementation of global sustainable development goals, primarily in terms of environmental protection and food security. On the other hand, the book defines the essence of sustainable development of the cooperative sector of the economy as a demonstrative economic practice that reflects the general state of socio-economic systems. Scientific, methodological, and applied recommendations for the systemic optimization of the management of the cooperative sector of the economy in the interests of simultaneously achieving its maximum positive impact on the implementation of sustainable development goals, as well as maintaining its stability are proposed. The book contains the best works based on the results of the International Scientific and Practical Conference “Cooperation and Sustainable Development”, which was held on December 15-16, 2020. Its target audience is scientists studying processes of business structures cooperation, business entities carrying out cooperation, as well as public authorities, which will find guidelines for improving state regulation of the cooperative sector of the economy in this book.

Abstract: Fuzzy Clustering -- A Digital Twin-based Approach for the Fault Diagnosis of a Bearing -- Fuzzy Cluster analysis of Claustrophobia questionnaire data in Iranian male and female educated populations -- Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN -- A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Countries’ COVID-19 Risk -- Text Segmentation Using Light Syntax Parsing and Fuzzy Systems -- A Neighborhood Merging Policy Based on Shannon’s Entropy and Symmetric Relative Entropy for Non-Convex Cluster Detection.

Abstract: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Abstract: BIECO Runtime Auditing Framework -- Basic aspects in redundancy-based intrusion tolerance -- A Survey on the State of the Art of Vulnerability Assessment Techniques -- Comparison of Safety and Security analysis techniques -- Longitudinal study of grades for the Industrial Electronics and Automation Engineering degree programme -- Analysis of students' online interactions in the Covid era from the perspective of anomaly detection -- Evaluation of e-learning criteria to improve the academic and functional results of PhD studies -- Development of competencies applying the project method. Application in environmental engineering -- Bioengineering as a strategy for the consolidation of innovation and technological development processes in the central zone of Colombia -- Challenges and competences in Master Degrees from a Comprehensive Security perspective.

Abstract: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2021 and ICEUTE 2021, all conferences held in the beautiful and historic city of Bilbao (Spain), in September 2021. The aim of the 14th CISIS 20121 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behavior by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2021 International Program Committee selected 23 papers which are published in these conference proceedings achieving an acceptance rate of 40%. In this relevant edition, a special emphasis was put on the organization of special sessions. One special session is organized related to relevant topics as follows: building trust in ecosystems and ecosystem components. In the case of 12th ICEUTE 2021, the International Program Committee selected 17 papers, which are published in these conference proceedings. One special session is organized related to relevant topics as follows: sustainable personal goals: engaging students in their learning process. The selection of papers is extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS and ICEUTE conferences would not exist without their help.

Abstract: This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 22), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 28–29 January 2022. Highlighting the latest innovations in digital technologies as: Artifiscial Intelligence, Internet of things, Embedded systems, Network Technology, information processing and their applications in several areas as hybrid vehicles, renewable energy, Mechatronics, Medicine… The respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Abstract: Mathematical Modelling to Predict Fuel Consumption in a Blast Furnace Using Artificial Neural Networks -- "A Hybrid Model based on Behavioural and Situational Context to Detect Best Time to deliver Notifications on mobile devices" -- Peculiarities of Image Recognition by the Hopfield Neural Network -- PDCloudEX Software Defined Network -- Business Analytics: Trends and Challenges -- Security Operation Modes for Enhancement of Utility Computer Network Security -- "Design and Analysis of Digital Compressed ECG Sensing Encoder for IoT Health Monitoring Devices".

Abstract: This book consists of different accepted papers of the conference. Firstly, the artificial intelligence and its application-related topics are provided. Secondly, cloud computing and related topics are also provided. The book has been designed to help research organisations and business leaders from across industries to transform their organisations into AI-driven disruptors. The utility of the technology in the face of massive globally interconnected complexity is explored. The significant characteristics of IEMAICLOUD are the promotion of inevitable dialogue between scientists, researchers, engineers, corporate’s and scholar’s students to mitigate the gap between academia, industry and governmental ethics which has been fostered through keynote speeches, workshops, panel discussion and oral presentations by eminent researchers in relevant field. The industry personnel depict cutting-edge researches in artificial intelligence and cloud computing to convey academia regarding real-time scenario and practical findings. Conference has been well equipped with talks by industry experts on the state of the art in computer science, lectures by eminent scientists designed to inspire and inform presentations by innovative researchers coming from 20+ countries from Europe and abroad. There has been discussion-oriented sessions and networking breaks to enable collaborations. Papers consist abstract, result, discussions and conclusions by the help of different tables and diagrams.

Abstract: Adaptive control of the autonomous car -- Destruction of engine exhaust valves as the source of a vessel loosing steerage -- Application of the keyhole TIG process for high productivity welding of superduplex stainless steel as an example of an effective implementation of mechatronics in fabrication processes -- Modeling of thermal stresses in technological equipment of heat treatment furnaces -- Functional assessment of projection screen materials for thermal detection in virtual shooting trainers -- Modal Analysis of Honeycomb Core Sandwich Panel Using Finite Element Method -- Finite Element Modelling of Thin-Walled Box Beams Partially Filled with Polymer Concrete -- Uncertainty budget for static stiffness measurement according to ISO 230-1 -- Effect of thermal cycles on the microstructure and mechanical properties of the heat affected zone for the HCT600C Advanced High Strength Complex Phase Steel used for car body -- Diagnostics of the turbine set bearing with the use of experimental modal analysis -- Geometric model of ball-end micro milling -- Analysis of the possibility to compensate for selected tool setting errors in the lens grinding process -- The Treadmill Control System Based on the SteamVR Tracking System.

Abstract: This book explains that the coming years undoubtedly bring new developments in mechatronics. These advances are stimulated by the growing demand for intelligent, autonomous solutions in various branches of industry and consumer products. The development of economically justified new mechatronic products is not possible without the ongoing progress in manufacturing technology, metrology, measurements systems, new materials and control techniques. Those are the key for reducing costs and enhancing functionality of new products. Therefore, the scope of the 5th International Conference Mechatronics spanned from advanced mechatronic systems to manufacturing processes. The new results of research in this areas are reported in this book. We strongly believe that the solutions and guidelines presented during the conference held in Szczecin (Poland) from 8th to 10th September 2021 are useful for both researchers and engineers solving problems associated with mechatronic products.

Abstract: This 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 topic e-Business e-Learning Intelligent systems Machine vision Security Technology trends .

Abstract: Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of Things -- Chapter 2, Internet of Things, Preliminaries and Foundations -- Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures -- Chapter 4, Digital Forensics in Internet of Things -- Chapter 5, Supervised Deep Learning for Secure Internet of Things -- Chapter 6, Unsupervised Deep Learning for Secure Internet of Things -- Chapter 7, Semi-supervised Deep Learning for Secure Internet of Things -- Chapter 8, Reinforcement Learning for Secure Internet of Things -- Chapter 9, Federated Learning for Privacy-Preserving Internet of Things -- Chapter 10, Challenges, Opportunities, and Future Prospects.

Abstract: This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

Abstract: Chapter 1: Preliminaries -- Chapter 2: A Definition for Hesitant Fuzzy Partitions -- Chapter 3: Unsupervised Feature Selection Method. Chapter 4: Fuzzy Partitioning of Continuous Attributes -- Chapter 5: Comparing Different Stopping Criteria.

Abstract: This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists. .

Abstract: The aim of the book “Innovative Mobile and Internet Services in Ubiquitous Computing” is to provide latest research findings, methods and development techniques, challenges and solutions from both theoretical and practical perspectives related to UPC with an emphasis on innovative, mobile and internet services. 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.

Abstract: Fuzzy 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.

Abstract: The 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.

Abstract: Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis -- A review of Machine Learning techniques to detect and treat COVID-19 using EHR data -- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario -- Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach -- Impact of COVID-19 on Indian Agriculture -- Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.

Abstract: This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

Abstract: This 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.

Abstract: 1. Failure of control -- 2 Failure of institutional cognition I -- 3 Failure of institutional cognition II -- 4 The ‘Self-Maskirovka’ of military scientism -- 5 Extending the models.

Abstract: This book explores the role of deception, delay, and self-deception in the dynamics of organized conflict, taking a formal approach that hews closely to the asymptotic limit theorems of information and control theories. The resulting probability models can, with some effort—and some confidence—be converted to statistical tools for the analysis of real-time observational and ‘experimental’ data on institutionalized confrontation across both traditional and emerging ‘Clausewitz Landscapes’.

Abstract: This 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.

Abstract: Software intensive systems are systems, which heavily interact with other systems, sensors, actuators, devices, other software systems, and users. More and more domains are involved with software intensive systems, e.g., automotive, telecommunication systems, embedded systems in general, industrial automation systems, and business applications. Moreover, the outcome of web services delivers a new platform for enabling software intensive systems. Complex systems research is focused on the overall understanding of systems rather than its components. Complex systems are very much characterized by the changing environments in which they act by their multiple internal and external interactions. They evolve and adapt through internal and external dynamic interactions. The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations, builds a fruitful impulse for both software intensive systems and complex systems. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence, and cognitive sciences is a very important factor for the future development and innovation of software intensive and complex systems. The aim of the book “Complex, Intelligent and Software Intensive Systems” is to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future ICT-enabled applications: software intensive systems, complex systems, and intelligent systems.

Abstract: This book presents Volume 1 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 22), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on January 28–29, 2022. This book highlights the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, network technology, information processing and their applications in several areas as hybrid vehicles, renewable energy, mechatronics, medicine… This book will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Abstract: This 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.