Abstract: Digital transformation and Disruptive Technologies -- Cloud Computing and DevOps on Managing Projects -- Product Differentiation Strategy between Cost Leadership Strategy and Order-Winners -- Customisation Strategy and Product Variety on Operational Performance -- Demand Forecasting on Effective Supply Chain with Mediating Role of Strategic Planning -- Information Sharing and Delivery Time on Customer Happiness.

Abstract: This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.

Abstract: Interpretable Rules with a Simplified Data Representation - a Case Study with the EMBER dataset -- Spatial econometric models: the pursuit of an accurate spatial structure with an application to labor market -- Use of Neighborhood-based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes to Reduce the Number of Infected Nodes in a Complex Real-World Network -- Social Media Applications’ Privacy Policies for facilitating Digital Living -- Modeling the Alienability of an Electronic Document -- Particular Analysis of Regression Effect Sizes Applied on Big Data Set -- Foreign Languages Teaching Technologies and Methods in Traditional and Distance Forms of Learning -- Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning -- The meaning of business and software architecture in the enterprise architecture -- Research of the Correlation Between the Results of Detection the Liveliness of a Face and its Identification by Facial Recognition Systems -- Profit Prediction Model for Steel Enterprises Based on Input and Output Prices.

Abstract: These proceedings offer an insightful exploration of integrating data analytics in system engineering. This book highlights the essential role of data in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering. It is a must-read for anyone keen on understanding and participating in the ongoing evolution of system engineering in our data-centric world.

Abstract: This book is a collection of high-quality peer-reviewed research papers presented at The International Conference on Intelligent Systems and Smart Technologies (I2ST’23) held at the Faculty of Science and Technology of Hassan First University, Morocco, on January 17–18, 2023. I2ST'23 is a forum for presenting new advances and research results in the fields of information, communication, and smart technologies. The book discusses significant issues relating to machine learning, smart technologies, and data analytics. The main and distinctive topics covered are: I) AI& Intelligent, II) Systems Smart Technologies, III) Communications and Networking, IV) Software Engineering & Web Applications, V) Information Technology, and VI) Software Engineering & Web Applications.

Abstract: Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.

Abstract: The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.

Abstract: An Artificial Intelligence-based Concept and Survey for Personalized Learning in schools in the Republic of Bulgaria -- 0/1 1-D bin packing problem solved by a recent nature-inspired optimizer -- Orca predator algorithm for feature selection -- Skeleton Detection Using MediaPipe as a Tool for Musculoskeletal Disorders Analysis -- Pipeline leakage detection via Extreme Seeking Entropy -- Secure Data Transmission Scheme in Wireless Sensor Network Resisting Unknown Lethal Threats -- Deep Reinforcement Learning-Based Task Offloading in Multi-access Edge Computing for Marine IoT -- Information and Communication Skills for Higher Learners Competence Model -- Smart solution for public lighting in the municipality -- A Review Paper On Biometric Authentication And Geospatial Data – Case of Zambia.

Abstract: This book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.

Abstract: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.

Abstract: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Abstract: Introduction -- Part I - Content -- The Legal Challenges of the Fourth Industrial Revolution: Copyright in the Digital Single Market - between new uses of protected content and fairness considerations -- Due diligence obligations and liability of intermediary services: the Proposal for the EU Digital Services Act -- Legal challenges posed by the modern-day transportation services. A brief overview from the private law perspective -- The regulation of content moderation -- Part II - Economy -- The European Way to Regulate Big Tech: the EU’s Digital Markets Act -- “eCommerce and EU consumers' rights” -- Online platforms and taxes in the EU: a compatible match? -- Regulating Digital Advertising from the Perspective of the 4th Industrial Revolution -- Part III - Security -- The European Union Strategy for Cybersecurity -- Remarks on the use of biometric data systems (and facial recognition technologies) for law enforcement purposes: security implications of the Proposal for an EU Regulation on Artificial Intelligence -- Cyber operations threatening the European Union and its member states: the rise of the European Union as a cyber defence actor -- Part IV - People -- Data Protection Litigation System under the GDPR -- R2D: The Right to Disconnect from Work -- Is There a Need for an EU Catalogue of Fundamental Digital Rights? -- Countering terrorism propaganda online through TERREG and DSA: a battlefield or a breath of hope for our fundamental human rights? -- AI and Fundamental Rights: the People, the Conversations, and the Governance Challenges.

Abstract: This book explores the concept of a fourth industrial revolution as an expression of the current technological, economic, and social changes sparked by the growing interconnectivity and intelligent automation that have emerged in the 21st century. It seeks to identify and explain the legal challenges posed by this phenomenon in four main areas: content, economy, security, and people. Part I, Content, considers e.g. the problems posed by new uses of protected works in the digital environment, and the new rules on liability for intermediary services contained in the Digital Services Act. Part II, Economy, is particularly concerned with the regulation of Big Tech in the EU’s Digital Markets Act, ecommerce and EU consumers’ rights, the taxation of online platforms, and digital advertising. Part III, Security, addresses the European Union Strategy for Cybersecurity, the use of biometric data systems and facial recognition technologies for law enforcement purposes, and the security implications of the Proposal for an EU Regulation on Artificial Intelligence, as well as the challenges entailed by the European Union’s positioning itself as a major cyber defence actor. Part IV, People, discusses the Data Protection Litigation System under the GDPR, the right to disconnect from work, the proposed EU Catalogue of Fundamental Digital Rights, the countering of terrorist propaganda online through the TERREG and the DSA, and AI and Fundamental Rights.

Abstract: Determination of additional braking force for hydraulic cylinder piston -- Modular spindle tooling of the machining center with increased resource -- Optical fiber behavior under inert atmosphere -- Natural vibrations of a turbine blade during milling -- Maintenance of hydraulic components on multifunctional stands -- configuration of SRR-metamaterial based 2*1 array-type RGW antenna with cantilever beam switching technique -- Step, servo and hub motor based hybrid PCB processing and prototyping device design and analysis. .

Abstract: This book provides both researchers in the academia, students, and industrial experts the chance to exchange new ideas, build relations, and find virtual partners. It is a scientific event whose proceedings have set a very high standard. ICORSE’s distinctive feature is represented by its breadth of topics: mechatronics, integronics and adaptronics; reliable systems engineering; cyber-physical systems; optics; theoretical and applied mechanics; robotics; modelling and simulation; smart integrated control systems; computer imaging processing; smart bio-medical and bio-mechatronic systems; MEMS and NEMS; new materials; sensors and transducers; nano-chemistry, physical chemistry of biological systems; micro- and nanotechnology; system optimization; communications, renewable energy and environmental engineering. They all come together to deliver a clear picture of the state of the art reached in these areas so far.

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: An Introduction to Federated and Transfer Learning -- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art -- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms -- Cross-silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems -- A Unifying Framework for Federated Learning -- A Contract Theory based Incentive Mechanism for Federated Learning -- A Study of Blockchain-based Federated Learning -- Swarm Meta Learning -- Rethinking Importance Weighting for Transfer Learning -- Transfer Learning via Representation Learning -- Modeling Individual Humans via a Secondary Task Transfer Learning Method -- From Theoretical to Practical Transfer Learning: The Adapt Library -- Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning -- A Study on Efficient Reinforcement Learning Through Knowledge Transfer -- Federated Transfer Reinforcement Learning for Autonomous Driving.

Abstract: This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.

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 contains the proceedings of the CIMPS Conference held on October 19-21, 2022, Hipócrates University, Acapulco de Juárez, Guerrero, México, that is dedicated to Software Engineering, in particular, software processes improvement, computer security and communication technology, artificial intelligence and data analysis (big data) with a focus on innovation and/or entrepreneurship, bringing together the academic sectors, governmental and industrial that promote the comprehensive development of a culture of research, innovation and competitiveness of organizations dedicated to and/or that make use of Information and Communication Telecommunications. This book presents software engineering with impact in a combination of different fields: Organizational Models, Standards and Methodologies, Knowledge Management, Software Systems, Applications and Tools, Information and Communication Technologies, Information security, Artificial intelligence, Data Analysis. It is used in different domains in which a broad scope of audience is interested in: • Software engineers • Analyst • Project management • Consultant • Professors in academia • Students • Corporate heads of firms • Senior general managers • Managing directors • Board directors • Academics and researchers in the field both in universities and business schools • Information technology directors and managers • Quality managers and directors • Libraries and information centres serving the needs of the above This book contents are also useful for Ph.D. students, master’s and undergraduate students of IT-related degrees such as Computer Science, Information Systems. .

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: This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful.

Abstract: Artocarpus Classification Technique using Deep Learning based Convolutional Neural Network -- Rambutan Image Classification using Various Deep Learning Approaches -- Mango Varieties Classification-based Optimization with Transfer Learning and Deep Learning Approaches -- Salak Image Classification Method based Deep Learning Technique using Two Transfer Learning Models -- Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques -- Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus Integer and Artocarpus Heterophyllus -- Markisa/Passion Fruit Image Classification based Improved Deep Learning Approach using Transfer Learning -- Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data -- A Novel Big Data Classification Technique for Healthcare Application using Support Vector Machine, Random Forest and J48 -- Comparative Study on Arabic Text Classification: Challenges and Opportunities -- Pedestrian Speed Prediction Using Feed Forward Neural Network -- Arabic Text Classification using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect.

Abstract: This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.

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: Anti-electricity Stealing Detection Based on Recurrent Neural Network -- Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images using Transformers -- Adaptive Collaborative Learning Process in a Hybrid Model -- Overview of Gradient Descent Algorithms: Application to Railway Regularity -- Major Role of Artificial Intelligence, Machine Learning, And Deep Learning in Identity & Access Management field: Challenges and Atate of the Art -- Analysis of Feature Selection Methods for Network Traffic Classification -- MOOC Video Classification using Natural Language Processing and Machine Learning Model -- A Problem and Project-Based Learning Strategy to Promote Students’ Motivation in Post-pandemic Graduation Design Studio: A prospective Comparative Study -- An Efficient 2-Stages Classification Model for Students Performance Prediction -- A Straggler Identification Model for Large-Scale Distributed Computing Systems using Machine Learning -- The Application of Artificial Intelligence in Real Estate Valuation: A Systematic Review -- Agency Theory: Designing Optimal Incentives in the Insurance Sector -- Face mask Detection By Using Deep Learning with the Generative Adversarial Network-based Feature.

Abstract: This proceedings book constitutes the refereed proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during November 20–22, 2022, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

Abstract: symKrypt: A Lightweight Symmetric-Key Cryptography for Diverse Applications -- PK-BERT: Knowledge Enhanced Pre-trained Models with Prompt for Few-shot Learning -- Typhoon Track Prediction Based on TimeForce CNN-LSTM Hybrid Model -- The Novel Characterizing Method of Collective Behavior Pattern in PSO -- Research on Box Office Prediction of Commercial Films Based on Internet Search Index and Multilayer Perceptron -- A DCRC Model For Text Classification -- Hierarchical Medical Classification based on DLCF -- Noise Detection and Classification in Chagasic ECG Signals based on One-Dimensional Convolutional Neural Networks -- Based on the analysis of interrelation between parallel distributed computer system and network -- Improvement of DGA Long Tail Problem Based on Transfer Learning -- A Phonetics and Semantics-Based Chinese Short Text Fusion Algorithm -- Feature Extension for Chinese Short Text Based on Tongyici Cilin -- Task-Level Consistency Semi-Supervised Based Domain Adaptation for Lung Nodules Segmentation -- Malaria Blood Smears Object Detection based on Convolutional DCGAN and CNN Deep Learning Architectures.

Abstract: This book presents scientific results of the 22nd IEEE/ACIS International Conference on Computer and Information Science (ICIS 2022) held on June 26-28, 2022 in Zhuhai China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications, and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 14 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: 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: Introduction -- e-Government: The concept, the environment & critical issues for the Back-Office systems -- Semantic Web: The evolution of the Web & the opportunities for the e-Government -- Representation and knowledge management for the benefit of e-Government - Opportunities through the tools of the Semantic Web -- Towards Open Data and Open Governance – Representation of knowledge and Triplification of data in the field of the Greek Open Government Data -- Production and publication of linked open data: The case of open ontologies -- Education and E-Government - The case of a Moodle based platform for the education and evaluation of civil servants -- Conclusions – Future Work.

Abstract: Evolving technological advances in Artificial Intelligence-empowered Software present significant potential to lead e-Government towards more collective efforts, exchange of experiences on best practices both at national and international levels and dissemination of secluded administrative knowledge. In this book, novel semantic web-based and linked open data-based approaches are developed for the modelling and management of the huge volume of administrative data and the procedures followed by public sector bodies and for the production and management of relevant administrative knowledge. The book consists of eight chapters, each of which includes relevant bibliographic references for deeper probing. Appendices complement this work with sections of configuration files of the applications developed and used. Professors, researchers, scientists, engineers and students in artificial intelligence, e-government and other computer science-related disciplines are expected to benefit greatly from it, along with non-specialist readers from other disciplines who are interested in getting versed in the recent developments in e-government.

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: Natural Language Processing Based on a Text Graph Convolutional Network -- An Alternative Metric to Support Case Base Maintenance in Case-Based Reasoning Processes -- A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples -- Algorithmic Dependent-Type Theory of Situated Information and Context Assessments -- Delayed and Periodic Execution of Tasks in the Jadescript Programming Language -- Comparison of algorithms for the detection of Plasmodium falciparum: A review of machine learning based approaches -- Proposal for measuring the effectiveness of an intelligent control system for traffic crossings -- A Method to Predict the Relative Performance of Stocks Using Financial Meta-indicators.

Abstract: DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 61 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 technical program has selected 32 full papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica dell'Università degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).

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: Don’t Stand so Close to Me: Acceptance of delegating intimate health care tasks to assistive robots -- Designing a Voice Intelligent Agent: A Review and Appraisal -- Job crafting & re-design in a rapidly changing world of work: A bibliometric analysis & review -- Resilience Engineering and Safe Work Method Statements in Construction Projects -- Agent Transparency for Human-Autonomy Teaming -- Cuteness Engineering and UX Design -- Small screen-large information challenge for older adults: navigating through big pictures and menus of mobile phones.

Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic areas: mobile computing. Main areas of coverage include Section A: Health, Care and Assistive Technologies; Section B: Usability, User Experience and Design; Section C: Virtual Learning, Training and Collaboration; Section D: Ergonomics in Work, Automation and Production. In total, there are more than 600 pages emphasizing contributions from especially early career researchers that were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. .

Abstract: Pretrained E-commerce Knowledge Graph Model for Product Classification -- A Novel Methodology for Object Detection in Highly Cluttered Images -- Extreme learning Machines for Offline Forged Signature Identification -- Randomized model structure selection approach for Extreme Learning Machine applied to Acid sulfate soils detection -- Online label distribution learning based on kernel extreme learning machine.

Abstract: This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.

Abstract: Vera Angelova, Sensitivity of the nonlinear matrix equation -- Adjoint State Optimization Algorithm for Prediction of Honeybee Population Losses -- Study of time series connected to an innovative window heat transfer system -- Coefficient Identification for SEIR Model and Economic Forecasting in the Propagation of COVID–19 -- Recovering the Time-Dependent Volatility and Interest Rate in European Options from Nonlocal Price Measurements by Adjoint Equation Optimization -- Comparison of four classification methods on small-sample-size synthetic RNA-seq data -- Sensitivity Analysis of a Large-Scale Air Pollution Model by Using Effective Stochastic Approaches -- Two-Way Intuitionistic Fuzzy Analysis of Variance for COVID-19 Cases in Europe by Season and Location Factors -- A Generic Nonlinear Evolution Equation of Magnetic Type I. Reductions.

Abstract: This book gathers the peer-reviewed proceedings of the 15th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'20, held in Sofia, Bulgaria. The general theme of BGSIAM'20 was industrial and applied mathematics with particular focus on mathematical physics, numerical analysis, high-performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, and biomedical and engineering applications.

Abstract: Introduction -- AI and Its Wider Impact -- Public Administration and Technology in Malta -- AI Adoption. .

Abstract: The book presents a unique study on the Artificial Intelligence (AI) readiness of public administrations focusing on the Maltese public administration as a case study. This was conducted following the launch of the Malta AI National Strategy in 2019. Since the Maltese public administration is the driving force behind the integration of AI solutions nationwide, the research is deemed necessary to understand whether the public workforce itself is ready to face the oncoming AI revolution. The researchers applied a mixed-methods approach to gain insight and a broader perspective of the status quo concerning AI adoption. Important considerations that stem from this study include the need for increased AI knowledge among public administrators since the majority of respondents reported a lack of awareness of AI technologies and their deployment. Understanding AI-related advantages must be accompanied by a robust instructional effort at all levels of education. It was unanimously agreed that the early inclusion of AI-related courses in the Maltese educational system will aid in developing a future AI-savvy workforce. Furthermore, upskilling and reskilling the public officers will facilitate knowledgeable human capital and proficiencies required to effectively integrate AI solutions within society. The study concludes by recommending several critical reforms within governments that will improve the AI-readiness factor of any Public Administration.

Abstract: On Decision Making Applications Via Distance Measures -- On Intuitionistic Fuzzy Abstract Algebras -- Generalization of Intuitionistic Fuzzy Submodules of a Module by using Triangular Norms and Conorms and (T, S)-L Subrings -- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation and tests on benchmark functions and Mackey Glass neural network -- Fuzzy classifier using the optimization algorithm by means of particles for the diagnosis of arterial hypertension -- A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem -- A comparison between MFCC and MSE features for text-independent speaker recognition using machine learning algorithms -- Forecasting based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas -- Bio-Inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network -- Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control -- Optimizing a convolutional neural network with a hierarchical genetic algorithm for diabetic retinopathy detection -- Interval Type-3 Fuzzy Systems: a natural evolution from type-1 and type-2 fuzzy systems -- A comparative study between bird swarm algorithm and artificial gorilla troops optimize -- Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification.

Abstract: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .

Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.

Abstract: A Generic Multicore CPU Parallel Implementation of Fractional Order Digital Image Moment -- Computer-Aided Road Inspection: Systems and Algorithms -- Computer Stereo Vision for Autonomous Driving -- A Survey on GPU-based Visual Trackers -- Accelerating the Process of Copy-Move Forgery Detection using Multi-core CPUs Parallel Architecture -- Parallel Image Processing Applications using Raspberry Pi.

Abstract: This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.

Abstract: Development and Extended Validation of a Lumped Parameter Prediction Model for Analysing Injury Parameters in a Vehicle Crash -- Integrating GPU-accelerated Tetrahedral Mesh Editing and Simulation -- Performance Study of Vertical Submersible Pump in Terms of Induced Loads and Vibrations -- Comparison of Modelling Approaches and Solvers on Harmonic Studies for Renewable Energy Integration -- Stretching Simulation of Viscoelastic Fluid with Spring Connection -- SysML and Petri Nets based Methodology for Analysis and Performance Evaluation in WSNs -- Growing Bioinspired Synthetic Landscape Ecologies and the Adequacy of Object Oriented Programming -- On Advanced Modeling of Compressors and Weighted Mix Iteration for Simulation of Gas Transport Networks -- Quasi-static Optimal Control Strategy of Lattice Boom Crane based on Large-scale Flexible Non-linear Dynamics -- Simulation Conditionally to a Subvariety and Application to Bayesian Optimization: A Dichotomous Approach -- A Python-based Mixed Discrete-Continuous Simulation Framework for Digital Twins.

Abstract: The present book includes a set of selected papers from the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021) that was held as an online event, from July 7 to 9, 2021. The conference brought together researchers and practitioners interested in methodologies and applications of modeling and simulation. New and innovative solutions are reported in this book. A selection was made after the conference, based also on the conference chairs assessment, reviewers’ assessment, quality of presentation and audience interest, so that this book includes the extended and revised versions of the very best papers of the conference.

Abstract: Optical Information Cryptosystem Based on Structured Phase Encoding -- Encryption Decryption with Optical Transform -- Optical Cryptosystems Based on Spiral Phase Modulation -- Image Cryptosystem for Different Kinds of Image Using Improved Arnold Map -- Image Encryption Using A Chaotic/Hyperchaotic Multidimensional Discrete System -- Video Cryptosystem Using Chaotic Systems -- Neural Network Image Restoration Techniques.

Abstract: This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.

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: Approximation Methods and Reference Values for Maximum Allowed Collaborative Operating Speeds in Quasi-static and Transient Contact Cases -- Toward Real-time Multi-Objective Optimization for Bus Service KPIs -- A Two-stage Trajectory Prediction Algorithm for Mobile Robots Combining the Bayesian and the DMOC Frameworks -- Adaptive Neural Network based Fractional Order Control of Unmanned Aerial Vehicle -- Design and Development of a Dexterous Teleoperation Setup for Nuclear Waste Remote Manipulation -- Pose Optimization of Task-redundant Robots in Second-order Rest-to-Rest Motion with Cascaded Dynamic Programming and Nullspace Projection -- Output Feedback Reference Tracking and Disturbance Rejection for Constrained Linear Systems using Invariant Sets -- Output-feedback Model Predictive Control using Set of State Estimates -- Prediction of Overdispersed Count Data using Real-time Cluster-based Discretization of Explanatory Variables -- Model-based Optimization of Vaccination Strategies in Different Phases of Pandemic Virus Spread.

Abstract: The book focuses the latest endeavors relating researches and developments conducted in fields of control, robotics, and automation. Through more than ten revised and extended articles, the present book aims to provide the most up-to-date state of the art of the aforementioned fields allowing researcher, Ph.D. students, and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book. The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same book a factual and well-balanced prospect of nowadays research in those topics. A special attention toward “Intelligent Robots and Control” may characterize another benefit of this book.

Abstract: Bubbling Pressure in Clay Soils as a Physical Quantity and Approximation Parameter -- Geodetic Observations of Building Settlings on Weak Water-Saturated Clay Soils -- Paleogeography of the Black and Azov Seas and Their Coasts in Pleistocene and Holocene (Within the Krasnodar Region of Russia) -- Methodology for Developing a Geoinformation Project for Rational Nature Management of the Land and Property Complex of Russian Northern Territories -- The Pyrological Situation in the Steppe Regions of North Eurasia and Adjacent Territories: FIRMS Data Analysis for the Multi-year Period -- The Ecological State of Vegetation in Urban Areas of Various Administrative Districts of Ulan-Ude: A Comprehensive Assessment -- Territorial Features of Manifesting Hazardous Hydrological Phenomena in the Altai Republic -- Synanthropization and Species Diversity of Floodplain Ecosystems of the Ob-Irtysh Basin -- Assessment of Surface Water Quality in the Markha River Basin on the Territory of the Nyurba Ulus (District) of the Republic of Sakha (Yakutia) -- A Fractal Character of the Multidimensional Ecological Niche: Formation in Real Habitats in South Trans Urals. .

Abstract: This book enables readers to develop a multidisciplinary understanding of natural, human-made, and coupled human-natural systems. The authors explore the structure, function, and dynamic mechanisms of various systems, both natural and human-made, as well as analyze their reciprocal interactions under the concept of “coupled human-natural systems.” The chapters challenge traditional planning and management assumptions and strategies for natural resources, human-altered systems, and the environment. Acknowledging the critical role of effective regulations, policies, and governance structures, the authors analyze advanced research and practices on policy design for managing natural, human-made, and coupled human-natural systems. They conduct impact evaluation and integrative ecosystems assessment, as well as discuss policy interventions and decision-making strategies. They acknowledge the localization of policy design, considering regional and global dynamics that shape responses of local human-made and coupled human-natural systems. A special collection of chapters analyzes legal foundations for sustainable development and strong institution. The authors explore models from both natural and social sciences to obtain and present significant research results. The book is a dispensable source of sustainability research and practice in human-made, natural, and coupled human-natural systems. It is for the scholars, practitioners, and advanced graduate students interested in systems theories, methodologies, and applications.

Abstract: Short Introduction on the Logic -- Error Sets -- Transformation Connectives in Error Logic -- Mathematical Error Propositional Logic -- Applications of Error Logic -- Glossary.

Abstract: This book offers a brand-new theoretical system and relevant tools for intelligently identifying errors in the decision-making process, investigating the complexities and erring mechanisms of dysfunctional socioeconomic systems, and therefore helping design error-proof systems. The error logic is invented to pioneer a new branch for the field of logic, which can be applied to various fields including mathematics, philosophy, computer science, artificial intelligence, linguistics, management science, and systems science. Researchers, postgraduates, and undergraduates in relevant fields can use it as a reference for enhancing their understanding of the tempo-spatial dynamics and transformation of errors in complicated systems. The manuscript also provides vivid and thought-provoking examples and applications to help readers understand how to apply the concepts and theory in real socioeconomic systems.

Abstract: Complexity of the Lambek Calculus and Its Extensions -- Categorial Dependency Grammars: Analysis and Learning -- Diamonds are Forever -- A Hybrid Approach of Distributional Semantics and Event Semantics for Telicity -- Generalized Computable Models and Montague Semantics -- Multilingual Text Generation for Abstract Wikipedia in Grammatical Framework: Prospects and Challenges -- Decomposing Events into GOLOG -- Generating Pragmatically Appropriate Sentences from Logic: the Case of the Conditional and Biconditional -- White Roses, Red Backgrounds: Bringing Structured Representations to Search -- Rules Are Rules: Rhetorical Figures and Algorithms -- Integrating Deep Neural Networks with Dependent Type Semantics -- Meaning-Driven Selectional Restrictions -- A Unified Cluster of Valence Resources.

Abstract: This book assesses the place of logic, mathematics, and computer science in present day, interdisciplinary areas of computational linguistics. Computational linguistics studies natural language in its various manifestations from a computational point of view, both on the theoretical level (modeling grammar modules dealing with natural language form and meaning and the relation between these two) and on the practical level (developing applications for language and speech technology). It is a collection of chapters presenting new and future research. The book focuses mainly on logical approaches to computational processing of natural language and on the applicability of methods and techniques from the study of formal languages, programming, and other specification languages. It presents work from other approaches to linguistics, as well, especially because they inspire new work and approaches.

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: Public Opinion on Park Transformation Projects: The Case of the Oktyabrsky District in Barnaul, Russia -- Application of Polygraph in the Environmental Crimes Investigation -- Reproductive Attitudes of Young Women as a Potential Threat to Social Safety -- International Tourism Before and After the Pandemic -- A Novel Natural Strain of Bacillus Pumilus as a Biological Resource for the Microbial Preparations Development. .

Abstract: This book is a collection of cutting-edge and cross-disciplinary studies on natural, human-made, and coupled human-natural systems, addressing the challenge of developing integrated knowledge from multiple disciplines. The authors explore the structure, function, and dynamic mechanisms of various systems, both natural and human-made, as well as analyze their reciprocal interactions under the concept of “coupled human-natural systems.” These interactions are used to understand feedback, nonlinearities, thresholds, time lags, legacy effects, and path dependencies, emerging across multiple spatial, temporal, and organizational scales. In other words, this book is a collection of advanced research on unique properties of natural and human-made systems, as well as human-environment dynamics, reciprocal relationships, and cross-scale interactions. The authors outline prospects on building a holistic view of social development and coherent sustainability. Among the topics covered are the following: human networks research; adaptation of local people to social and environmental challenges; coupled dynamics of socioeconomic and environmental systems; critical issues in social science climate change research; education for greater sustainability; peace, justice, and strong institutions; advances in cultural traditions and strategies for social stability; innovative development and barriers to sustainable development; economic systems in the age of digital changes and unstable external environments. The scholars analyze how more effective technologies can enhance resilience, reduce vulnerability, and minimize human impacts on natural systems, taking into consideration critical thresholds to prevent harmful feedback to human systems. The authors grasp the complexity of systems by integrating knowledge of constituent subsystems and their interactions. The framework developed by the authors is used to integrate human and natural systems for achieving greater sustainability, covering critical threats, challenges, and best governance approaches and practices. The research results obtained from studies on coupled human-natural systems are stronger, the authors argue, if compared with traditional (discipline) approaches. .

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: Chapter 1: Application of interval type-2 fuzzy logic control approach to the lower-limb exoskeleton -- Chapter 2: A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using 1- D Input Space -- Chapter 3: Fractional order Type-2 fuzzy Logic controllers -- Chapter 4: Artificial Bee Colony Optimized a new Precompensated Interval Type-2 Fuzzy Logic Controller for a Magnetic Levitation System -- Chapter 5: Application of Type-2 Fuzzy Logic Controllers in Renewable Energy Systems. .

Abstract: This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications. .

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: 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: Basic concepts of voting -- Preferential voting based on data envelopment analysis -- Group preferential voting -- Applications of preferential voting in industry and society.

Abstract: This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support. This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming. This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.

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: Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation -- A Geometric Perspective on Feature-Based Distillation -- Knowledge Distillation Across Vision and Language -- Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations -- Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications -- Self-Distillation with the New Paradigm in Multi-Task Learning -- Knowledge Distillation for Autonomous Intelligent Unmanned System.

Abstract: The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Abstract: Leader-Follower Formation Control of Mobile Robots Based on Simplified Super-Twisting Algorithm -- Deep Reinforcement Learning Applied to Multiagent Path Planning for Information Gathering in Environmental Missions -- Analysis of Computer Vision-Based Techniques for the Recognition of Landing Platforms for UAVs -- Monitoring Peak Pollution Points of Water Resources with Autonomous Surface Vehicles using a PSO-based Informative Path Planner -- Robots in Medicine: Mobile Robots Versus Mobile Decision, Necessity Versus Possibility and Future Challenges -- Event-based Robust Control Techniques for Wheel-Based Robots Under Cyber-attack and Dynamic Quantizer -- Path Optimization and Multi-Level Path Planning for The Steam Field Navigation Algorithm -- Modeling and Simulation of Quadcopter using Self-Tuning Fuzzy-PI Controller -- Using an Interactive Theorem Prover for Formally Analyzing the Dynamics of the Unmanned Aerial Vehicles -- Adaptive Fault-Tolerant Control Design for Multi-Linked Two-Wheel Drive Mobile Robots -- Design and Implementation of a Robust 6-DOF Quadrotor Controller Based on Kalman Filter for Position Control -- Wireless Sensor Network Based Mobile Robot Applications -- Fault Diagnosis and Fault Tolerant Control for linked Two Wheel Drive Mobile Robots -- Fractional Order Extended State Observer Enhances the Performance of Controlled Tri-copter UAV Based on Active Disturbance Rejection Control -- Robust Adaptive Sliding Mode Controllers Design for a Non-holonomic Mobile Robot.

Abstract: This book presents the recent research advances in linear and nonlinear control techniques. From both a theoretical and practical standpoint, motion planning and related control challenges are key parts of robotics. Indeed, the literature on the planning of geometric paths and the generation of time-based trajectories, while accounting for the compatibility of such paths and trajectories with the kinematic and dynamic constraints of a manipulator or a mobile vehicle, is extensive and rich in historical references. Path planning is vital and critical for many different types of robotics, including autonomous vehicles, multiple robots, and robot arms. In the case of multiple robot route planning, it is critical to produce a safe path that avoids colliding with objects or other robots. When designing a safe path for an aerial or underwater robot, the 3D environment must be considered. As the number of degrees of freedom on a robot arm increases, so does the difficulty of path planning. As a result, safe pathways for high-dimensional systems must be developed in a timely manner. Nonetheless, modern robotic applications, particularly those requiring one or more robots to operate in a dynamic environment (e.g., human–robot collaboration and physical interaction, surveillance, or exploration of unknown spaces with mobile agents, etc.), pose new and exciting challenges to researchers and practitioners. For instance, planning a robot's motion in a dynamic environment necessitates the real-time and online execution of difficult computational operations. The development of efficient solutions for such real-time computations, which could be offered by specially designed computational architectures, optimized algorithms, and other unique contributions, is thus a critical step in the advancement of present and future-oriented robotics. .

Abstract: Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation -- A Survey on Deep Learning Models to detect Hate Speech and Bullying in Social Media -- A Deep Learning based System to Estimate Crowd and Detect Violence in Videos. .

Abstract: Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.

Abstract: Chapter 1: Fuzzy Sets and Their Extensions: Literature Review on Fuzzy Extensions of AHP -- Chapter 2: Interval Type-2 Triangular Fuzzy AHP: Evaluation of Sustainable Port Service Quality Factors -- Chapter 3: Swot Analysis integrated Interval Type-2 Triangular Fuzzy AHP: Application on e-Scooter Adaptation In Turkiye -- Chapter 4: Interval Type 2 Fuzzy Z- AHP and Interval Type 2 Fuzzy-Z Waspas: Selection of Industry 4.0 Sub-Technologies -- Chapter 5: Interval Type-2 Trapezoidal Fuzzy AHP and Modified Delphi Method: Evaluation of Railway Transportation for Istanbul, Turkey -- Chapter 6: Single-valued intuitionistic fuzzy AHP and interval-valued intuitionistic fuzzy AHP -- Chapter 7: Interval Valued Intuitionistic Fuzzy Z extensions of AHP&CODAS: Comparison of Energy Storage Alternatives.

Abstract: This book presents a comprehensive guide to Analytic Hierarchy Process with Fuzzy Sets Extensions. Written by prominent researchers, it offers readers a step-by-step approach to decision-making that can be applied to a wide range of real-world problems. With clear explanations and practical examples, this book is an essential resource for researchers, lecturers, and postgraduate students pursuing research on Analytic Hierarchy Process with Fuzzy Sets Extensions. Each chapter in the book provides a wealth of both basic and advanced concepts, including Interval Type-2 Fuzzy AHP, Intuitionistic Fuzzy AHP, Hesitant Fuzzy AHP, Pythagorean Fuzzy AHP, Picture Fuzzy AHP, q-Rung Orthopair Fuzzy AHP, Spherical Fuzzy AHP, Circular Intuitionistic Fuzzy AHP, and Decomposed Fuzzy AHP. To foster a better understanding, all the chapters include relevant numerical examples or case studies, making it easy to apply the concepts in practice. Moreover, the book extends all the main aspects of Analytic Hierarchy Process with Fuzzy Sets Extensions, presenting a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments. In summary, this book is an essential reference guide for anyone seeking to gain a deep understanding of Analytic Hierarchy Process with Fuzzy Sets Extensions. It is written in a rigorous and scholarly manner, making it a valuable resource for researchers and academics. Order your copy today and discover the practical insights and strategies for decision-making offered by this authoritative volume.

Abstract: An Introduction to the Study of Journalism and Its Boundaries -- Principles of journalism under discussion -- Strategies for sustainability in the digital environment -- Tensions between old and new actors in journalism -- Evolving formats and narratives in digital journalism -- Adaptation to mobile and social platforms for news use -- Tackling the challenge of artificial intelligence in journalism.

Abstract: What changes have affected the definition of the boundaries of journalism in the last decade? How do technologies influence the boundaries of journalism? Are threats and opportunities identified in those blurred areas of journalism? The aim of this book is to answer these questions and to address, from different perspectives, the redefinition of the boundaries of journalism according to the most recent changes in digital media concerning actors, models, and practices. More than 40 authors from eleven countries contribute to this book, which is structured into six sections to analyze the principles of journalism today, sustainability strategies in the digital context, old and new actors, formats and narratives, adaptation to the mobile scenario and to social platforms, and the changes introduced by artificial intelligence. Undoubtedly, this book is of interest to both academics and professionals, as well as a crucial reference for scholars and students of media and journalism. Chapter 7 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Abstract: Part I: Core Problems -- Chapter 1: Neural Network Models for Time Series Data -- Chapter 2: Self-Supervised Learning from Unlabeled IoT Data -- Chapter 3: On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models -- Chapter 4: Out of Distribution Detection -- Chapter 5: Model Compression for Edge Computing -- Part II: Distributed Problems -- Chapter 6: Communication Efficient Distributed Learning -- Chapter 7: Coreset-based Data Reduction for Machine Learning at the Edge -- Chapter 8: Lightweight Collaborative Perception at the Edge -- Chapter 9: Dynamic Placement of Services at the Edge -- Chapter 10: Joint Service Placement and Request Scheduling at the Edge -- Part III: Cross-cutting Thoughts -- Chapter 11: Criticality-based Data Segmentation and Resource Allocation in Machine Inference Pipelines -- Chapter 12: Model Operationalization at Edge Devices.

Abstract: It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as “Google Home”, “Alexa”, and “ChatGPT” becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a domain where computational intelligence has always been envisioned as a transformative force toward a better tomorrow. Depending on the application family, this domain is often referred to as Ubiquitous Computing, Cyber-Physical Computing, or the Internet of Things. The underlying vision is driven by the proliferation of cheap embedded computing hardware that can be integrated easily into myriads of everyday devices from consumer electronics, such as personal wearables and smart household appliances, to city infrastructure and industrial process control systems. One common trait across these applications is that the data that the application operates on come directly (typically via sensors) from the physical world. Thus, from the perspective of communication network infrastructure, the data originate at the network edge. From a performance standpoint, there is an argument to be made that such data should be processed at the point of collection. Hence, a need arises for Edge AI -- a genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the edge where the data originate. The book is broken down into three parts: core problems, distributed problems, and other cross-cutting issues. It explores the challenges arising in Edge AI contexts. Some of these challenges (such as neural network model reduction to fit resource-constrained hardware) are unique to the edge environment. They need a novel category of solutions that do not parallel more typical concerns in mainstream AI. Others are adaptations of mainstream AI challenges to the edge space. An example is overcoming the cost of data labeling. The labeling problem is pervasive, but its solution in the IoT application context is different from other contexts. This book is not a survey of the state of the art. With thousands of publications appearing in AI every year, such a survey is doomed to be incomplete on arrival. It is also not a comprehensive coverage of all the problems in the space of Edge AI. Different applications pose different challenges, and a more comprehensive coverage should be more application specific. Instead, this book covers some of the more endemic challenges across the range of IoT/CPS applications. To offer coverage in some depth, we opt to cover mainly one or a few representative solutions for each of these endemic challenges in sufficient detail, rather that broadly touching on all relevant prior work. The underlying philosophy is one of illustrating by example. The solutions are curated to offer insight into a way of thinking that characterizes Edge AI research and distinguishes its solutions from their more mainstream counterparts.

Abstract: Introduction -- Conference overview -- International Law and Comparative Law in Data Protection and Compliance -- Multidisciplinary Approaches, Arbitration and Balance in Data Protection -- Emerging Technologies, Compliance, and Privacy -- Technology for Compliance and Data Protection -- Data Protection -- Cybersecurity and Data Protection -- Audit and Certification -- Data Subject Rights -- Conclusion.

Abstract: This book presents the proceedings of the Privacy Symposium 2023. the book features a collection of high-quality research works and professional perspectives on personal data protection and emerging technologies. Gathering legal and technology expertise, it provides cutting-edge perspective on international data protection regulations convergence, as well as data protection compliance of emerging technologies, such as artificial intelligence, e-health, blockchain, edge computing, Internet of Things, V2X and smart grid. Papers encompass various topics, including international law and comparative law in data protection and compliance, cross-border data transfer, emerging technologies and data protection compliance, data protection by design, technology for compliance and data protection, data protection good practices across industries and verticals, cybersecurity and data protection, assessment and certification of data protection compliance, and data subject rights implementation. Presents the proceedings of the Privacy Symposium 2023 - Data Protection Law International Convergence and Compliance with Innovative Technologies; Features topics such as Data Protection and Compliance, Cybersecurity, Audit and Certification, Data Subject Rights; Includes papers from academic world, law professionals, and the industry of compliance services.

Abstract: Application of Convolutional Neural Network for the Gene Expression Data Classification -- Formation of Subsets of Co-Expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy -- Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel -- Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases -- Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts -- Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks -- Methodology for Solving Forecasting Problems Based on Machine Learning Methods -- The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market -- Mathematical and Computer Model of the Tree Crown Ignition Process from a Mobile Grassroots Fire -- Features of Complex Application of the Formal Method of EVENT-B for Development of Environmental Management Systems -- Ecology Objects Recognition by Optimized Inverse Filtration Of Textured Background -- Information Technology to Assess the Enterprises' Readiness for Innovative Transformations Using Markov Chains -- Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture -- Leader-Follower Strategy of Fixed-Wing Unmanned Aerial Vehicles via Split Rejoin Maneuvers -- Prognostic Assessment of COVID-19 Vaccination Levels.

Abstract: This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Abstract: Decidability of real-valued S4 Go¨del logic -- Basic logic versus multi-adjoint logic -- Fuzzy logic programming with generalized quantifiers -- Fuzzy relations: the fundament for fuzzy rough approximation, fuzzy concept analysis and fuzzy mathematical morphology -- Information bireducts and its relationship with reducts -- On the applicability of fuzzy lines in circular Hough transform in lesion segmentation on liver CT images -- Directional properties of semi-aggregation functions -- Generalized Phi-Transform of Aggregation Functions on Bounded Lattices -- Sugeno Integral for Atanassov Intuitionistic Fuzzy Sets -- Facilitating the simulation of domestic energy systems through linguistic representations -- Experiments with the Discrete Bacterial Memetic Evolutionary Algorithm for solving the Cumulative Capacitated Vehicle Routing Problem -- Fuzzy Inference System-like Aggregation Operator (FISAO) for Fuzzy Signatures -- Context of a local congruence concept reduction -- One-sided concept lattices by blocks -- From Fuzzy Partitions to Riemannian Manifolds -- Discrete universal fuzzy integrals -- Energy determined membership function of viscoelastic models -- Advances in forgery detection of driving licences using truthfulness degrees -- A formal method for driver identification -- Analysis and identification of forensic events using non-parametric density estimation -- Fuzzy signature based model in material handling management -- On Choquet integral in ranking crimes -- The Effects of Knowledge Extraction Approaches on Cryptanalysis Studies and Analysis of the Success of Chaos-Based Countermeasures.

Abstract: The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic. Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems.

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: Future of Work and Work Systems: Machine Learning & Artificial Intelligence for Designing Smart, Safe, Healthy & Ethical Work in Financial Services -- Supporting production management in the fourth industrial revolution: a framework based on shop-floor data -- Perceived Usability in User-Centered Design: Analysis of Usability Aspects for Improving Human-Machine System -- Synthesizing Construction Professionals’ Perceived Measures of Mitigating Contractors’ Opportunism -- Systematic Review of the Relationship between Advanced Production Management and Workplace Safety.

Abstract: This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries. This book is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This book for the GSIS emphasizes main thematic areas: manufacturing, services and user experience. Main areas of coverage include Section A: Advanced Production Management and Production Control; Section B: Healthcare Automation; Section C: Measuring and Modeling Human Performance; Section D: Usability and User Experience; Section E: Safety Management and Occupational Ergonomics; Section F: Manufacturing and Services; Section G: Data and Probabilistic Information; Section H: Training and Collaboration Technologies. Contributions from especially early career researchers were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction International and Applied Human Factors and Ergonomics International (AHFE), both within the Lecture Notes in Springer. The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet it is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. .

Abstract: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .

Abstract: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.

Abstract: A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-heuristics, and Swarm Intelligence -- Introductory Review of Swarm Intelligence Techniques -- Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends -- Advances on Particle Swarm Optimization in Solving Discrete Optimization Problems -- Performance Analysis of Hybrid Memory Based Dragonfly Algorithm in Engineering Problems.

Abstract: Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems. .

Abstract: The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.

Abstract: The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.

Abstract: Baby fever -- Planning a pregnancy with Artificial Intelligence -- “We’re pregnant!”. Artificial Intelligence by your side.

Abstract: This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.

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: A Bi-objective Evolutionary Algorithm to Improve the Service Quality for On-demand Mobility -- A Dynamic Circular Hough Transform Based Iris Segmentation -- A Game Theoretic Framework for Interpretable Student Performance Model -- A New Telecom Churn Prediction Model Based on Multi Layer Stacking Architecture -- A Novel Hybrid Classification Approach for Predict Performance Student in e-learning -- A Proposed Big Data Architecture using Data Lakes for Education Systems -- A SVM Approach for Assessing Traffic Congestion State by Similarity Measures -- A Tool for the Analysis, Characterization, and Evaluation of Serious Games in Teaching -- Analysis and Examination of the Bus Control Center(BCC) System: Burulaş Example -- Analyze Symmetric and Asymmetric Encryption Techniques by Securing Facial Recognition System -- Aspect-Based Sentiment Analysis of Indonesian Language Hotel Reviews using Long Short-Term Memory with an Attention Mechanism -- Big Data and Machine Learning in Healthcare: Concepts, Technologies, and Opportunities -- Classification of Credit Applicants using SVM Variants Coupled with Filter-Based Feature Selection -- Classification of Hate Speech Language Detection on social media: Preliminary Study for Improvement -- CoAP and MQTT: Characteristics and Security.

Abstract: This book covers selected research works presented at the fifth International Conference on Networking, Information Systems and Security (NISS 2022), organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30–31, 2022, hosted in online mode in Bandung, Indonesia. Building on the successful history of the conference series in the recent four years, this book aims to present the paramount role of connecting researchers around the world to disseminate and share new ideas in intelligent information systems, cyber-security, and networking technologies. The 49 chapters presented in this book were carefully reviewed and selected from 115 submissions. They focus on delivering intelligent solutions through leveraging advanced information systems, networking, and security for competitive advantage and cost savings in modern industrial sectors as well as public, business, and education sectors. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Abstract: The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.

Abstract: This book presents a collection of articles on the advanced and interdisciplinary application of innovative technologies. Scientific investigations and results of the conference 13th Days of Bosnian-Herzegovinian American Academy of Art and Sciences held in Sarajevo, Bosnia and Herzegovina, June 23-26, 2022, are presented in this book. The up-to-date advances in various fields of engineering have been presented through numerous papers spanning the disciplines of civil engineering, mechanical engineering, advanced electrical power systems, computer modeling and simulations for engineering applications, computer science and artificial intelligence, geodesy and geoinformation, data science and geographic information systems and information and communication technologies. The editors would like to extend special gratitude to all the chairs of the planned symposia of the 13th Days of BHAAAS for their dedicated work in the production of this book.

Abstract: This book is suitable for researchers and practitioners in biology, medicine and health sciences and bioinformatics. The success of bioinformatics and computational biology in recent years has been driven by research through computational tools and techniques that are essential for data analysis in modern biology and medicine. Systems biology is a related research area that has been replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling, computer simulation and optimization. The accumulation and exploitation of large-scale databases prompt new computational technology and for research into these issues. In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on computer science/ artificial intelligence (CS/AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted. This proceedings of the 16th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB), held in L’Aquila (Italy) from July 13 to 15, 2022, contains ten original contributions of authors from many different countries (Bahrain, Canada, France, Italy, Portugal, Saudi Arabia, Spain, and UK) and different subfields in bioinformatics and computational biology. It is also suitable for artificial intelligence researchers interested in exploring applications in biology and health sciences and computational models.

Abstract: Part I: Neuroinformatics and Artificial Intelligence -- Tree Inventory with LiDAR Data -- Towards Reliable Solar Atmospheric Parameters Neural-Based Inference -- Addressing Task Prioritization in Model-based Reinforcement Learning -- Automatic Generation of Conversational Skills from Dialog Datasets -- Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation -- Individual Topology Structure of Eye Movement Trajectories -- Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information -- Alpha Rhythm Dynamics During Spoken Word Recognition -- Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands -- A Software System for Training Motor Imagery in Virtual Reality -- On the Importance of Diversity -- “MYO-chat” – A New Computer Control System for People with Disabilities -- Low-bit Quantization of Transformer for Audio Speech Recognition -- A Model of Predicting and Using Regularities by an Autonomous Agent -- A Review of One-Shot Neural Architecture Search Methods -- Does a Recurrent Neural Network Use Reflection During a Reflexive Game? -- A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm -- Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia -- Part III: Modern Methods and Technologies in Neurobiology -- Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat -- Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern -- Astrocytes Enhance Image Representation Encoded in Spiking Neural Network -- Classification of Neuron Type Based on Average Activity -- Comparative Analysis of Statistical and Neural Network Classification Methods on the Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm -- Shunting Effect of Synaptic Channels Located on Presynaptic Terminal -- Analysis of Appearances, Formation and Evolution of Biological Functional Systems -- The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex -- To the Role of Inferior Olives in Cerebellar Neuromechanics -- Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific -- Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields -- Part IV: Applications of Neural Networks -- Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network -- SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar -- IQ-GAN: Instance Quantized Image Synthesis -- Specifics of Crossbar Resistor Arrays -- Recurrent and Graph Neural Networks for Particle Tracking at the BMN Experiment -- Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array -- Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning -- Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation -- Global memory transformer for processing long documents -- Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images -- Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm -- DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English -- Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks -- Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods -- Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data? -- Multitask learning for extensive object description to improve scene understanding on monocular video -- Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance -- Information processing in spiking neuron-astrocyte network in ageing -- Multilingual Case-insensitive Named Entity Recognition -- Multi-level Pipeline for Data Mining with Similar Structure -- Creating a Brief Review of Judicial Practice Using Clustering Methods -- Part V: Neural Network Theory, Concepts and Architectures -- "Gas” instead of “Liquid”: which Liquid State Machine is Better? -- Using a Resistor Array to Tackle Optimization Problems -- Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem -- DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure -- Relay System of Differential Equations with Delay as a Perceptron Model -- Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator? -- An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks -- Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy -- On the Similarities between Denoising Diffusion Models and Autoencoders.

Abstract: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.

Abstract: A provincial indicator to describe potential Artificial Intelligence -- Transitions, Harmony and the Mediterranean: the Case of the Harmonic Innovation Hub -- Sustainability in manufacturing. From a model of transition to the transition of the model -- An International Classification of Volunteers Using Artificial Intel-ligence Methods -- A multicriteria approach to the market of electric/hybrid vehicles using TOPSIS method -- Sustainable technologies in urban and architectural renovation of public residential estates -- The contemporaneity of the smart city -- Towards harmonious and sustainable cities.

Abstract: This book aims to deal with the main advances in the study of artificial intelligence, the digital and circular economy and innovation from a multidisciplinary perspective. Whoever governs the artificial intelligence will hold the keys to the world and the future. This consideration explains the growing role of artificial intelligence in our lives and the need to understand its mechanisms. This book presents original research articles addressing various aspects of artificial intelligence applied to economics, law, management, and optimization. The topics discussed include, economics, territorial policies, law, resource allocation strategies, information technology, and learning for inclusion. Combining the input of contributing professors and researchers from Italian and other foreign universities, the book is of interest to students, researchers, and practitioners, as well as members of the public in general, interested in the world of the artificial intelligence and economics. .

Abstract: Introduction -- Perception Enhancement of a Vehicle in a Bad Weather Environment -- Adaptive Backstepping-RBF Control of Lower Limb Exoskeleton -- Advances in Coyote Optimization Algorithm -- Efficient Big Data Architecture Based on Micro Service -- K Semantics for Security Policy Enforcement on Android Applications with Practical Cases -- On the Performance of MIMO Vehicular Visible Light Communications -- An Evaluation Framework for Blockchain-based Public Key Infrastructures -- Intelligent Target Cell Selection Algorithm for Low Latency 5G Networks -- Conclusion.

Abstract: This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain. Includes selected papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021); Illustrates recent application of computational intelligence in various applications; Features domains such as health, security, and resilient PKI (public key infrastructure) internet via blockchain.

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: Part I: Fundamentals and Backgrounds -- Evolutionary Computation -- Deep Neural Networks -- Part II: Evolutionary Deep Neural Architecture Search for Unsupervised DNNs -- Architecture Design for Stacked AEs and DBNs -- Architecture Design for Convolutional Auto-Encoders -- Architecture Design for Variational Auto-Encoders -- Part III: Evolutionary Deep Neural Architecture Search for Supervised DNNs -- Architecture Design for Plain CNNs -- Architecture Design for RBs and DBs Based CNNs -- Architecture Design for Skip-Connection Based CNNs -- Hybrid GA and PSO for Architecture Design -- Internet Protocol Based Architecture Design -- Differential Evolution for Architecture Design -- Architecture Design for Analyzing Hyperspectral Images -- Part IV: Recent Advances in Evolutionary Deep Neural Architecture Search -- Encoding Space Based on Directed Acyclic Graphs -- End-to-End Performance Predictors -- Deep Neural Architecture Pruning -- Deep Neural Architecture Compression -- Distribution Training Framework for Architecture Design.

Abstract: This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.

Abstract: A Literature-Based Perspective on Human-Centered Design and Evaluation of Interfaces for Virtual Reality in Robotics -- A Multi-Modal Feedback Communication Interface for Human Working Posture Adjustments -- An Optimal Human-Based Control Approach for Mobile Human-Robot Collaboration -- Approximating Robot Reachable Space Using Convex Polytopes -- Complexity and Similarity Metrics for Unsupervised Identification of Programming Methods for Robot Cooking Tasks -- Damping Design for Robot Manipulators.

Abstract: This book contains seventeen contributions in the form of independent chapters, covering a broad range of topics related to human–robot interaction at physical and cognitive levels. Each chapter represents a novel piece of work presented during HFR 2022 by researchers in the different areas of robotics, where new theories, methodologies, technologies, challenges, and empirical and experimental studies are discussed. Additionally, this compilation is rich in viewpoints due to the multidisciplinary nature of its authors. Hence, this book represents an excellent opportunity for academics, researchers, and industry partners to get acquainted with the most recent work on human–robot interaction.

Abstract: Explainable Artificial Intelligence: Concepts and Current Progression -- Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives -- Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment approaches towards amenable XAI -- Explainable AI (XAI): A Survey of Current and Future Opportunities -- Recent Challenges on Edge AI with its application: A Brief Introduction -- Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisions -- Role of Explainable Edge AI to Resolve Real Time Problem -- Explainable Data Fusion on Edge: Challenges and Opportunities -- Trust Model Based Data Fusion in Explainable Artificial Intelligence for Edge Computing Using Secure Sequential Discriminant Auto Encoder with Lightweight Optimization Algorithm -- A Deep Learning Based Target Coverage Protocol for Edge Computing Enabled Wireless Sensor Networks.

Abstract: This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.

Abstract: Question-Answering System over Knowledge Graphs using Analogical-Problem-Solving Approach -- Fuzzy Transform on Manifolds -- Fuzzy Transform on Manifolds -- Freedom of Will, Physics, and Human Intelligence: An Idea -- SDN delay prediction using machine learning algorithms -- Stochastic Simulations of Airborne Particles in a Fibre Matrix -- Similar Vietnamese Document Detection in Online Assignment Submission System -- A Study of Causal Modeling with Time Delay for Frost Forecast Using Machine Learning from Data.

Abstract: This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues. Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to deep learning, fuzzy techniques, knowledge graphs, and quantum computing. It also describes the results of testing these new methods in communication networks, education, environmental studies, food industry, retail industry, transportation engineering, and many other areas. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.

Abstract: Parametrized Motion Planning and Topological Complexity -- A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths -- Design Space Exploration for Sampling-Based Motion Planning Programs with Combinatory Logic Synthesis -- Large-scale Heterogeneous Multi-Robot Coverage via Domain Decomposition and Generative Allocation -- Efficient Motion Planning under Obstacle Uncertainty with Local Dependencies -- Distributed Spacing Control for Multiple, Buoyancy-controlled Underwater Robots.

Abstract: This book includes significant recent research on robotic algorithms. It has been written by leading experts in the field. The 15th Workshop on the Algorithmic Foundations of Robotics (WAFR) was held on June 22–24, 2022, at the University of Maryland, College Park, Maryland. Each chapter represents an exciting state-of-the-art development in robotic algorithms that was presented at this 15th incarnation of WAFR. Different chapters combine ideas from a wide variety of fields, spanning and combining planning (for tasks, paths, motion, navigation, coverage, and patrol), computational geometry and topology, control theory, machine learning, formal methods, game theory, information theory, and theoretical computer science. Many of these papers explore new and interesting problems and problem variants that include human–robot interaction, planning and reasoning under uncertainty, dynamic environments, distributed decision making, multi-agent coordination, and heterogeneity.

Abstract: CyEd: A Cyberinfrastructure for Computer Education -- Socio-Affective Profiles in Virtual Learning Environments: Using Learning Analytics -- Adaptive Scaffolding Toward Transdisciplinary Collaboration: Reflective Polyvocal Self-study -- Emergency Remote Teaching: A Case Study -- Cascades of Concepts of Virtual Time Travel Games for the Training of Industrial Accident Prevention -- Emotional Intelligence: A Journey Inside the Emotional Life within an Immersive Interactive Setting -- Creating Affective Collaborative Adult Teams and Groups Guided by Spiral Dynamic Theory -- Experiential Learning in Digital Contexts – A Case Study -- Models and Methods of Online Team Teaching -- Implementation of a Talent Development Program in Higher Education -- The Use of Indie4all Platform for Visually Impaired Students on the Acquisition of Learning Objects with Computational Thinking Practices in Μusic, Math and Physics.

Abstract: New technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create. The Learning Ideas Conference 2022 was the 15th annual conference and was the first time the conference was held as a hybrid event. The conference took place from June 15 to 17, 2022, both in New York and online, and included two special tracks: The Adaptive Learning via Interactive, Collaborative and Emotional Approaches (ALICE) Special Track and a track on Inclusive Learning. Topics covered in this book include, among others, online learning methodologies, diversity and inclusion in learning, case studies in university and corporate settings, new technologies in learning (such as virtual reality, augmented reality, holograms, and artificial intelligence), adaptive learning, and project-based learning. The papers included in this book are of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.

Abstract: Introduction -- Intelligence Analysis -- Foundations of the computational techniques -- Applying Situation Awareness to Intelligence Analysis -- Decision making through what-if analysis -- System modelling with graphs -- Behaviour modelling with fuzzy signatures -- Concept drift analysis with structures of opposition -- Comparing different approaches for implementing probability based rough set operators -- Data streaming scenarios -- Dealing with continuous variables: neighborhood and dominance based rough sets.

Abstract: This book focuses on the definition and implementation of data-driven computational tools supporting decision-making along heterogeneous intelligence scenarios. Intelligence analysis includes methodologies, activities, and tools aimed at obtaining complex information from a set of isolated data gathered from different sensors. The tools aim at increasing the level of situation awareness of decision-makers through the construction of abstract structures supporting human operators in reasoning and making decisions. This book appeals to students, professionals, and academic researchers in computational intelligence and approximate reasoning applications. It is a comprehensive textbook on the subject, supported with case studies and practical examples in Python. The readers will learn how to define decision support systems for the intelligence analysis through the application of situation awareness and granular computing for information processing. .

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: Identification of Barriers to Ensuring Accessibility Standards for Tram Stops to the Needs of People with Disabilities -- The Use of Multi-Criteria Methods in the Problem of Selecting Vehicles for Oversize Cargo Transport -- Problems of Assessing the Technical Condition of Transport Means on the Example of the Means of Air Transport -- The Use of Automatic Passenger Counting Systems Data in Financial Settlement Models in Public Transport -- Comparative Analysis of Transport Tariffs and Operating Ticket Distribution Channels in Selected Agglomerations -- Commuter Rail Service Quality: A Case Study of Rhine-Ruhr Metropolitan Region -- Money is Not Everything - is Integrated Transport Only About Investments? -- Determination of Transport Plans in Urban Areas Considering Zero-Emission Vehicles -- Vehicle Choice for Sustainable Regional Railway.

Abstract: This book contains an abundance of numerical analyses based on significant data sets, illustrating the close affiliation between transport systems development and quality of life. How to ensure accessibility standards for public transport for people with special needs? Which multi-criteria methods can support the problem of vehicle selection in freight transport, and which ones should be taken into account in the case of problems related to regional rail transport? What kind of How to assess technical condition of transport means? What factors should be taken into account when assessing the quality of passenger service? How to include zero emission vehicles in the consideration of transport plans? This book provides you with answers to these and many other questions. With regard to the research results discussed and the selected solutions applied, the book primarily addresses the needs of three target groups: Scientists and researchers (ITS field) Local authorities (responsible for the transport systems at the urban and regional level) Representatives of business (traffic strategy management) and industry (manufacturers of ITS components). This book gathers selected papers presented at the 18th “Transport Systems. Theory and Practice” Scientific and Technical Conference organised by the Department of Transport Systems, Traffic Engineering and Logistics at the Faculty of Transport and Aviation Engineering of the Silesian University of Technology. The conference was held on 19-20 September 2022 in Katowice (Poland).

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: 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: 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.