Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.

Abstract: Application of Soft Computing Techniques for Clustering in VANETs: A Survey -- EarlyStage Diabetes Risk Detection Using Comparison Of Xgboost, Lightgbm, And Catboost Algorithms -- Blockchain Based Artificial Intelligence of Things (AIoT) for Wildlife Monitoring -- Research on Screw Detection Using Artificial Intelligence Technology -- An Efficient Method for Lung Cancer Image Segmentation and Nodule Type Classification Using Deep Learning Algorithms -- Targeted and Automatic Deep Neural Networks Optimization for Edge Computing -- Edge to Cloud Network Function Offloading in the ADAPTO Framework -- DEFEDGE: Threat-driven Security Testing and Proactive Defense Identification for Edge-Cloud Systems -- Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum -- REDRAW: FedeRatED leaRning for humAn Wellbeing -- Greening AI: A Framework for Energy-Aware Resource Allocation of ML Training Jobs with Performance Guarantees -- Optimization of University Services through Cloud-Edge Integration: Study of a use case at the University of Naples Federico II -- Distributed Collaborative AR on Cloud Continuum: a Case Study for Cultural Heritage -- Survey on Reference Architecture for Cloud Continuum and Multi-Access Edge Computing (MEC) in 5G Networks -- Elastic Autoscaling for Distributed Workflows in MEC Networks.

Abstract: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several such applications have been difficult to realize because of many interconnection 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 book aims to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

Abstract: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.

Abstract: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.

Abstract: The Deployment of E-Learning Application as a Web Service in a Cloud Broker Architecture -- CarbonApp: Blockchain Enabled Carbon Offset Project Management -- Investigating the Impact of Congestion Control Algorithms on Edge-Cloud Continuum -- Design and Implementation of a Fuzzy-based System for Assessment of Relationship Trust -- BarongTrace: A Malware Event Log Dataset for Linux -- Specifying SSI over EAP: Towards an Even Better Eduroam in the Future -- FastSGX: A Message-passing based Runtime for SGX -- Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection -- Enhancing the 5G-AKA Protocol with Post-Quantum Digital Signature Method -- SoK: Directions and Issues in Formal Verification of Payment Protocols -- PCPR: Plaintext Compression and Plaintext Reconstruction for Reducing Memory Consumption on Homomorphically Encrypted CNN -- Design and Performance Evaluation of a Two-stage Detection of DDoS Attacks Using a Trigger with a Feature on Riemannian Manifolds -- Discovering Personally Identifiable Information in Textual Data - A Case Study with Automated Concatenation of Embeddings -- Towards User-Oriented Steganography -- AI-based Cybersecurity Systems.

Abstract: The aim of the book 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. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence, and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure, and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection 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 book covers the theory, design, and applications of computer networks, distributed computing, and information systems.

Abstract: Efficient Communication Protocol for Programmable Matter -- IoRT-based Distributed Algorithm for Robust Team Formation and its Application to Smart City Operation -- A WSN and Vision based Energy Efficient and Smart Surveillance System using Computer Vision and AI at Edge -- Mitigating Resource Depletion and Message Sequencing Attacks in SCADA Systems -- API Descriptions for the Web of Things -- SmartDriveAuth: Enhancing Vehicle Security with Continuous Driver Authentication via Wearable PPG Sensors and Deep Learning -- A Vision Transformer Based Indoor Localization Using CSI Signals in IoT Networks -- Deep Reinforcement Learning for VNF Placement and Chaining of Cloud Network Services -- Optimising Water Quality Classification in Aquaculture Using a New Parameter Pre-selection Approach -- Topic Analysis of Japanese Sentences Using Sentence Embeddings -- Performance Improvement of Semantic Search Using Sentence Embeddings by Dimensionality Reduction -- A Fuzzy-based System for Assessment of Performance Error in VANETs -- Carbon Credits Price Prediction Model (CCPPM) -- Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-based Adversarial Attack Defense Strategies -- Framework for Cognitive Self-Healing of Real Broadband Networks -- Honey Bee Inspired Routing Algorithm for Sparse Unstructured P2P Networks.

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 interconnection 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 book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “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: A Method for Estimating the Number of Diseases in Computed Tomography Reports of the Japanese Medical Image Database (J-MID): Variations among Facilities -- Enabling Dynamic Vulnerability Assessment for Multi-web Application Using Executable Directed Acyclic Graph -- Discovery of RESTful Web Services Based on the Openapi 3.0 Standard with Semantic Annotations -- Perfresolv: A Geo-distributed Approach for Performance Analysis of Public Dns Resolvers Based on Domain Popularity -- Dars: Empowering Trust in Blockchain-based Real-world Applications with a Decentralized Anonymous Reputation System -- An Empirical Comparison of Outlier Detection Methods for Identifying Grey-sheep Users in Recommender Systems -- Adaptive Consensus: Enhancing Robustness in Dynamic Environments -- Cottontrust: Reliability and Traceability in Cotton Supply Chain Using Self-sovereign Identity -- Interoperability Between Evm-based Blockchains -- Stand-up Indulgent Gathering on Lines for Myopic Luminous Robots -- Iot Identity Management Systems: The State-of-the-art, Challenges and a Novel Architecture -- Starm: Streaming Association Rules Mining in High-dimensional Data -- Regulation Compliance System for Iot Environments: Gdpr Compliance as a Use-case -- Two-dimensional Models of Markov Processes for System Availability -- Enabling Ai in Agriculture 4.: A Blockchain-based Mobile Crowdsensing Architecture.

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 interconnection 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 book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “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: Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Survival Strategies for It Companies During Crisis: A Case Study of Russia -- Comparative Analysis of Ontologies for Archival Representation -- Augmented Reality for Cyberphisical Exploration of Archeological Sites -- Research on Archive Digital Editing and Studying Mode Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0 -- Fixed-parameter Tractability for Branchwidth of the Maximum-weight Edge-colored Subgraph Problem -- On Coverage in Multi-interface Networks with Bounded Pathwidth -- Sensitivity Analysis of Performability Model to Evaluate Pbft Systems -- Algorithmic Aspects of Distributing Energy Consumption in Multi-interface Networks -- Blockchain and Financial Services a Study of the Applications of Distributed Ledger Technology (Dlt) in Financial Services -- A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks -- Mathematical Modelling of Covid-19 Using Odes -- Analyzing Monitoring and Controlling Techniques for Water Optimization Used in Precision Irrigation.

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 interconnection 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 book covers the theory, design and applications of computer networks, distributed computing, and information systems. The aim of the book “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: Part I: ICT for Health, Well-being and Sport -- Prediction of coronary plaque progression using data mining and artificial neural networks -- Rule-Based System For Pregnancy Monitoring -- Finite element analysis of myocardial work in cardiomyopathy -- Saccade Identification During Driving Simulation from Eye Tracker Data with Low-sampling Frequency -- Digital Technologies to support the Decision-Making Process for Dental Implants Treatment Planning -- SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling -- The Importance of Genetic and Clinical Data features in Risk Stratification of Patients with Hypertrophic Cardiomyopathy -- Haptic user interface for biomechanical feedback in aquatic sports: usability study -- Overview of Deep Learning Retinal Vessel Segmentation Methods from Fundus Images -- Convolutional Neural Network for Atherosclerotic Plaque Multiclass Image Segmentation in Transverse Ultrasound Images of Carotid Artery -- Part II: Applied Artificial Intelligence -- Using AutoML for AI service deployment -- Comparison of Deep Learning Algorithms for Facial Keypoints Detection -- Artificial Intelligence in Public Administration and Business Sector: A Bibliometric Review in Comparative Perspective -- Machine Learning Model as a Service in Smart Agriculture Systems -- A semi-supervised framework for anomaly detection and data labeling for industrial control systems -- Multilingual transformer and BERTopic for short text topic modeling: the case of Serbian -- Evaluation of head-up display for conditionally automated vehicles -- Visual programming support for the explainable artificial intelligence -- Multi-criteria decision making in turning operations using AHP, TOPSIS and WASPAS methods -- CNN-Based Object Detection for Robot Grasping in Cluttered Environment -- Performance Prediction of bio-inspired Compliant Grippers using Machine Learning Algorithms -- Part III:Digital Water -- HPC-based decision support system for remediation works on a dam -- Analysis of seepage through an embankment dam within the framework of hydropower system resilience assessment -- Statistical method for the DDF curves estimation under changing climate -- Technology platform for hydroinformatics systems -- Part IV:Computer Based Learning -- Novel approach for education in biomedical engineering based on atomic learning -- Ontology development approach adopting analogy and competency questions -- Educational system for demonstrating Remote attacks on Android Devices -- CRETE – Code REview Tool for Education -- The architecture of citizen science open data repository based on version control platforms -- Automatic Population of Educational Ontology from Course Materials -- Visual Question Answering - VizWiz challenge -- Part V:Digitalization in Energy sector -- Hybrid Approach in Thermal Demand Forecasting of a Building -- Digital solution to estimate solar power potential of rooftops in city of Belgrade -- Platform for efficient building operation and Demand Response flexibility provision -- Framework for optimizing neural network hyper parameters for accurate wind production forecasting -- Demand-side optimization of hybrid energy systems with heat pumps -- Scalable real-time simulation of electrical power system models in the cloud -- Part VI:Advanced Information Systems -- Relying on E-Contracting and Smart Contracts to Facilitate Legally Enforceable Conformance Checking in Collaborative Production -- Can memes beat the market? A roadmap to forecasting financial asset returns by using social media data and Machine Learning -- Access control in a distributed micro-cloud environment -- E-Government Requirements Specification Based on BPMN -- Towards a Formal Specification and Automatic Execution of ETLs in Cross-Organizational Business Processes -- Task queue implementation for edge computing platform -- Authentication and identity management based on zero trust security model in micro-cloud environment -- Supporting Integrative Code Generation with Traceability Links and Code Fragment Integrity Checks -- Model for Evaluating Points-to Analysis in GraalVM Native Image Using Instrumentation-based Profiling -- A Reference Architecture for Secure IoT.

Abstract: This book aims at meeting the challenge of getting along with today’s unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. "Disruptive Information Technologies for a Smart Society" is the proceedings book of the 13th International conference for information society and technologies that brings together experts from various fields to discuss the latest advancements in software engineering, machine learning, digital water, and ICT for health and sport. The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, energy, Fintech, AI, and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields.

Abstract: Physarum-Inspired Enterprise Network Redesign -- Improving LoRaWAN RSSI-based Localization in Harsh Environments: The Harbor Use Case -- Impact of traffic sampling on LRD estimation -- Features Extraction and Structure Similarities Measurement of Complex Networks -- Technology use by Africa smallholder farmers and the significant mediating factors -- Balancing Plug-in for Stream-based Classification -- Explainable Classification of Wiki Streams -- Reconstruction of meteorological records with PCA-based Analog Ensembles methods.-Analysis of the characteristics of different peer-to-peer risky loans -- Physics-Informed Autoencoders with Intrinsic Differential Equations for Anomaly Detection in Industrial Processes.

Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Abstract: Knowledge discovery in wikidata with machine learning in graph -- Topic Modelling for Detecting Reactions to Science Communication on Social Networks -- Pragmatic Statistics: Likert-Type Questionnaires Processing -- The influence of knowing the source of information on reader’s perceptions. An exploratory study on Twitter -- Knowledge Management: A new business success factor in companies in southern Peru -- Relationship Between Subjective Wellbeing and Prosocial Activities (Ecuadorian Case) -- The data repositories in agriculture. A preliminary investigation -- Towards a KOS to Manage and Retrieve Legal Data -- Experimental Analyses of Temporal Activity-Sequencing Anomalies in Process Mining -- Supervised Machine Learning Based Anomaly Detection in Online Social Networks.

Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Abstract: 1. Introduction -- Part I. Remote transactions in the investment segment of the Internet: an ecosystem approach to the research -- Chapter 1. Platform ecosystems in the investment segment of the Internet: institutional and organizational aspects -- Chapter 2. Modern information space as a set of electronic web platforms for the turnover of the investment objects -- Chapter 3. Remote investment transactions in the digital space: the essence and types -- Chapter 4. Digital financial assets as the objects for remote digital investment transactions: evolution and worldwide experience. Chapter 5. Central bank digital currencies (CBDC): current situation and development prospects in the global economy.

Abstract: The book contains the results of the best research developments obtained during the implementation of major scientific events organized and carried out with the financial support of the Russian Science Foundation and the President of the Russian Federation. The scientific novelty of the work lies in the fact that for the first time at the level of Russian and international interdisciplinary social and humanitarian sciences, primarily economic and legal, firstly, philosophical concepts and regulatory legal approaches to the regulation of remote investment transactions have been studied; secondly, a set of economic and legal conditions and means of harmonizing and observing the mutual interests of participants in remote investment transactions has been developed and proposed in order to prevent and minimize potential conflicts between the parties; thirdly, the current state and international regulation of investment transactions concluded and executed on Internet platforms was critically assessed; fourthly, a system of guarantees and protection of the rights of participants in remote investment transactions is proposed, including special contractual structures and an economic and legal model for the proper fulfillment of obligations. Measures are substantiated to expand and increase the intensity of the national investment turnover based on the improvement of the current legislation regulating investments through remote digital technologies in the Internet space, which provided a solution to the world scientific problem of great socioeconomic and economic importance. The book is designed for a wide target audience—scientists of different generations, different disciplinary and industry affiliations. Among them are young researchers, as well as scientists who have received recognition from the world scientific community, studying the socioeconomic, managerial, and legal consequences of the emergence and spread of digital technologies in the field of investment. Readers can be all individuals and legal entities interested in the development of digital technologies in the field of investment.

Abstract: Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities—anywhere on the globe—can record temperature, relative humidity, water content, leaks, and any other physical parameters.

Abstract: Efficiency Evaluation of Mobile Vision Transformers -- Online shopping experience: The case of Zara -- Virtual reality as a tool for the reconstruction and dissemination of Cuenca's cultural heritage: cases of the "Puente Roto" bridge and the "Cornelio Merchán" building -- Lextutor program as a tool to teach ESL vocabulary -- Study on Stereo AI Based Zed-2i Camera -- Systematic review of motion sensors and their energy efficiency -- Technical and business risk management in software startups -- The Impact of Insufficient Organisational Change Management on Enterprise Resource Planning Benefits: A South African Case Study -- Infrastructure overlays and digital chimeras: keys for reading information infrastructures -- Handover Analysis of Mobile Cellular Network in a Populated City -- The Development of an Architecture using Traditional and Modern Recursive Neural Networks and Natural Language Processing to Increase the Accuracy of Response on Client Doubts Related to Public Services -- A Systematic Mapping Study on the Use and Development of Research Software.

Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2024 International Conference on Information Technology & Systems (ICITS'24), held at Universidad de La Frontera, in Temuco, Chile, between the 24th and the 26th of January 2024. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences, and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. The primary markets of this book are postgraduates and researchers in Information Systems and Technologies domains. The secondary markets are undergraduates and professionals as well in Information Systems and Technologies domains.

Abstract: A Study on the Factors Influencing the Intention to Use MyData Service -- A Study on the Intention to Use the Urban Air Mobility Passenger Transportation Service -- A Study on the Integration of Endpoint Security Service Operations Management - Focusing on Cloud Services -- A Study on the Factors Affecting the Korean Financial Institution’s Switching Intention to Open Source Software - Focused on System Software -- A Study on the Intention to Utilize Overseas Developers through Offshoring - Using the Value-Acceptance Model (VAM) -- The Role of Co-creation Experience and Switching Cost in the Relationship between Service Recovery and Customer Loyalty -- A Comprehensive Analysis of Security Measures for MyData in South Korea Based on AHP -- A Study on the Factors Influencing the Performance of Korea Venture Capital Funds -- A Research on Factors Influencing the Survival of Small Businesses: Focusing on Franchise Convenience Stores -- A Study on Purchase Intention for Innovative Products: Focusing on Oxygen-generating Air Purifiers -- The Impact of Company's ESG Activities on Corporate Reputation -- The Impact of ESG Activities in Midsize Manufacturing Companies on Purchase Intentions: Focusing on the Mediating Roles of Corporate Reputation, Brand Image, and Perceived Quality -- A Study on the Intention to Utilize Overseas Developers through Offshoring Approach and Strategy for Economic Cooperation between South and North Korea Using the Value-Acceptance Model (VAM) - Based on the Case Study of the Kaesong Industrial Complex -- A Study on the Intention to Use Home Network Services -- A Study on the Impact of Green Patent Data on ESG Environment Indicators. .

Abstract: The book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book publishes original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.

Abstract: Product Differentiation Strategy between Cost Leadership -- Organizational Culture between Business Process Reengineering and Business Value -- Customisation Strategy and Product Variety on Operational Performance -- Team Creativity and Continuous Improvement on Time-To-Market -- Online Buying Behavior in the UAE Online Retail Industry: The Role of Emotional Intelligence.

Abstract: This book provides a standpoint on how to effectively use technology innovation for business intelligence and analytics. It presents an approach that combines cutting-edge technological advancements with practical applications in the business world. The book covers a range of innovative technologies and how they can be applied to enhance business intelligence and analytics. It is primarily aimed at professionals in the business field data analysts and students studying subjects. This book is especially beneficial for those who want to grasp and apply the technological trends in making strategic business decisions. Its comprehensive coverage makes it an indispensable resource for anyone, in the intersection of technology and business analytics. .

Abstract: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines. .

Abstract: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

Abstract: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Abstract: Impact of Logistics Training on Freight Transportation Companies in Bogotá -- Acceptance Sampling of Vegetables and Legumes in Units based on the Military Standard (MIL-STD 105E) -- Assessing the Impact of Dry Ports to the Supply Chain Safety and Security -- Factors that influence the quality of customer service in telecommunications companies -- After the hiking tour: walkers' behaviour -- Analysis of citizen satisfaction in municipal services -- The Ecotourism Landscape of Qatar -- Natural Parks image: an analysis of Tripadvisor reviews.

Abstract: This book presents advances in the research of various entities in the world, which are working on the application of technology or management in tourism. Indeed, one of the sectors hardest hit by the pandemic was tourism, likewise one of the post-pandemic effects is the rapid recovery of the sector, but more importantly is the great innovation that has occurred in marketing strategies for tourism using technology and applying management strategies not only to be more profitable but to have the best customer satisfaction. The book is aimed at the general public that seeks to innovate, learn from lessons learned and establish a knowledge base in mechanisms that apply technology or management in tourism, with the aim of improving the experience of all those involved in the business chain. This compendium aims to share all those great experiences and researches in the areas of: Managements, Tourism, Marketing strategies in Management, Tourism and Technology, Technology, Applied Computer Science, Artificial Intelligence, Business Administration, Cloud Computing, Educational Management, Finance, Insurance and Services Management, Health Tourism, Human Resource Management, Information Systems Planning and Management, Information Technologies in Tourism, Internet Technology, Knowledge Management, Management of Supply Chain and Logistics, Marketing Innovation, Robotics, Strategic Management Innovation, Sustainability Management, Technical Economy Management, Technical Innovation and Management, Technology in Tourism and Tourist Experience, Tourism Industry and Ecology, Tourism Management, a total of 77 research projects and many spaces and relationships between researchers to collaborate in the advancement of science are presented.

Abstract: This book presents various models and approaches, specific proposals, and recommendations on a whole range of areas for smart cities' development. This book proposes to look at the problem through a broad overview of all elements of a smart city as a single system: smart governance, smart buildings, smart transportation, smart tourism destinations, smart economy, and smart environment. The book is intended for both young and experienced scientists who want to get acquainted with the latest trends and data for using them in their research.

Abstract: Review of Open Software Bug Datasets -- SERVICIOS WEB CLOUD CON MÓDULO DE DISTRIBUCIÓN (SAAS) Y JAVA -- Static Level Ancestors in Practice -- Virtual Reality Training Platform: a case study for heavy machinery operators in immersive environments -- Digital Twin technologies for immersive virtual reality training environments -- Prototype of the crowdsensing system for pollution monitoring in a smart city based on data streaming -- Transcolar Rural New Route Cost Calculation Software And Cost Analysis Tool -- Agent Team Management Using Distributed Ledger Technology -- AirVA - Indoor Air Quality Monitoring and Control with Occupants Alerting System -- A federated algorithm for the lightweight generation of high-entropy keys in distributed computing systems.

Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Abstract: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.

Abstract: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.

Abstract: This book concentrates on advances in research in the areas of computational intelligence, cybersecurity engineering, data analytics, network and communications, cloud and mobile computing, and robotics and automation. The Second International Conference on Advances in Computing Research (ACR’24), June 3–5, 2024, in Madrid, brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. It introduces the concepts, techniques, methods, approaches, and trends needed by researchers, graduate students, specialists, and educators for keeping current and enhancing their research and knowledge in these areas.

Abstract: This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.

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: 1.Universal Adversarial Perturbation -- Automated Environmental Mapping with Behavior Trees -- Multi-objective Automatic Clustering with Gene Rearrangement -- Impact of immersive technology and virtual work environment, on innovative work behaviour -- Innovation capability and the relationship between entrepreneurial resources and micro-business performance. -- Impact of Cloud Computing as a digital technology on SMEs sustainability -- Digital innovation and agri-business -- The Usage of Artificial Intelligence in management process -- Artificial Intelligence to Human Resources Management -- others.(Green Finance, Digital Finance, and their challenges on traditional businesses -- Artificial Intelligence and Public Governance: citizens perspective in the context of a developing nation -- Fintech Innovations and the potential for green investment -- Blockchains, tokens and entrepreneurship).

Abstract: Intelligent systems research is a multidisciplinary field that focuses on the development of systems that can perceive, reason, and act autonomously. This can include areas such as machine learning, artificial intelligence, natural language processing, and robotics. The goal of intelligent systems research is to develop systems that can understand, learn from, and adapt to their environment, to perform tasks that would typically require human intelligence. Business and innovation research is an interdisciplinary field that examines how organizations can create, develop, and implement new ideas, products, and services. This can include areas such as organizational behaviour, strategic management, and marketing. The goal of business and innovation research is to understand how organizations can foster an environment that encourages creativity and innovation, and how they can develop and implement new ideas in a way that leads to success. Intelligent Systems, Business and Innovation Research is a research area that brings together these two fields to study the use of intelligent systems and technologies in the business context to drive innovation, improve operational efficiency and effectiveness of the organization. The book aims to understand how intelligent systems can be used in business applications, how to design and implement them, how to manage the associated challenges, and how to leverage them to foster innovation, create new business models, and gain competitive advantage. It offers guidance on how to navigate potential conflicts and challenges that may arise during multidisciplinary research in areas such as Industry 4.0, Internet of Things, modern machine learning, software agent applications, and data science. The book focuses on the various fields in which intelligent systems play a critical role in enabling the development of advanced technologies that can perform tasks that would typically require human intelligence. For example, in smart/control systems, intelligent algorithms can be used to optimize the performance of machines and devices, while in cyber security, they can be used to protect networks and data from cyber-attacks. In bioinformatics, intelligent systems can be used to analyse large amounts of biological data, while in virtual reality and robotics, they can be used to create realistic and responsive simulations and automatons. Additionally, the book also highlights the rapidly advancing theoretical foundations of fuzzy sets, mathematical logic, and non-classical logic. These are important theoretical frameworks for the development of intelligent systems, as they provide the foundation for the representation and manipulation of uncertainty, complexity, and imprecision. These theoretical foundations are essential in the development of intelligent systems that can make decisions and perform tasks in uncertain, complex, and dynamic environments.

Abstract: Twitter News Networks: the Story of Portugal and the Philippines -- Multidimensional and Multilingual Emotional Analysis -- Explaining Wikipedia page similarity using network science -- ESG in advertising narratives: Case analysis of Golden Lion winning campaigns at Cannes 2022 -- The digitalization of the event industry – mobile and internet applications as a tool to improve event communication and experiences: A case study of a French event app start-up -- A Digital Marketing Plan for a Pateo House in Alentejo -- Integrating online and offline distribution strategies – a Portuguese case study -- The city makes its mark in a review on digital communication and citizenship -- The Influence of In-store Music on the Consumer's Shopping Experience -- Marketing Plan for an Online Business: A Case Study.

Abstract: This book is composed of a selection of articles from the 11st World Conference on Information Systems and Technologies, held between 4 and 5 of April 2023, at Sant'Anna School of Advanced Studies, in Pisa, Italy. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications, and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility, and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers, and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications.

Abstract: The goal of this book is to provide a broad understanding on the New Perspectives in Software Engineering research. The advancement of computers, and mobile devices, among others, has led to the creation of new areas of knowledge to improve the operation and application of software in any sector, allowing many previously unimaginable activities. In this context, the evolution of software and its applications has created new domains of interest, emerging New Perspectives of Software Engineering for these new areas of knowledge such as: DevOps, Industry 4.0, Virtual and Augmented Reality, Gamification, Cybersecurity, Telecommunications, Health Technologies, Energy Systems, Artificial Intelligence, Robot control, among others. This book is used in different domains in which a broad scope of audience is interested: software engineers, analyst, project management, consultant, academics and researchers in the field both in universities and business schools, information technology directors and managers, and quality managers and directors. Finally, the book contents are also useful for Ph.D. students, master’s, and undergraduate students of IT-related degrees such as Computer Science and Information Systems.

Abstract: Introduction and main assumptions -- Issues of asymmetry of data proximity -- Matching between ordinary sets -- Matching between sets with binary coding -- Matching between multisets -- Matching between fuzzy sets -- Matching between intuitionistic fuzzy sets -- Summary and perspectives.

Abstract: The authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set. It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internet resources.

Abstract: Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence.

Abstract: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

Abstract: Chapter 1. Reconsidering a Sustainable Future through Artificial Intelligence of Things (AIoT) in the Context of Circular Economy (Georgios Lampropoulos, Harjinder Rahanu, Elli Georgiadou, Dimitrios Siakas, and Kerstin Siakas) -- Chapter 2. The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on achieving Sustainable Development Goals (Hanane Thamik, Juan David Figueroa Cabrera, and Jiang Wu) -- Chapter 3. The role of the Artificial Intelligence of Things in Energy Poverty alleviation (Ascensión López Vargas, Agapito Ledezma-Espino, and Araceli Sanchis-de-Miguel) -- Chapter 4. AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration (Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, and Baydaa Hashim Mohammed) -- Chapter 5. Achieving SDGs using AI Techniques and Digital Twins for Nuclear Power Plants: A Review (Kousik Barik, Sanjay Misra, and Harald P-J Thunem) -- Chapter 6. Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs (Assunta Di Vaio, Anum Zaffar, and Daniel Balsalobre-Lorente) -- Chapter 7. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security (Fadele Ayotunde Alaba, Abayomi Jegede, Usman Sani, and Emmanuel Gbenga Dada) -- Chapter 8. AIoT-Enabled Precision Agriculture for Sustainable Crop Disease Management: Advancing SDGs through Graph Attention Neural Networks (Muhammad Bello Kusharki and Bilkisu Larai Muhammad-Bello) -- Chapter 9. Sustainable Healthcare 5.0: Integration of IoT and Blockchain Technology with Federated Learning Model for Securing Healthcare Data (Arudra Vamshikrishnaa, Dharavath Ramesha, Rahul Mishraa, and Nazeeruddin Mojammadb) -- Chapter 10. IoT-Enabled Machine Learning for Enhanced Diagnosis of Diabetes and Heart Disease in Resource-Limited Settings (John Abubakar, Aghedo Emmanuel Odianose, and Omolola Faith Ademola), etc.

Abstract: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.

Abstract: Formation of Strategies for the Development of Startup Ecosystems as a Prerequisite for Sustainable Entrepreneurship -- The Strategy of Sustainable Development of Digital Business in the Conditions of the Variability of the Business Environment and European Integration -- Business Development towards the Application of Innovative Customer Relationship Management (CRM) Technologies in the Context of Global Transformational Changes -- Methodological Principles of Smoothing the Effect of Seasonal Fluctuations on the Components of Labor Intensity in Construction -- Data-Driven Public Budgeting: Business Management Approach and Analytics Methods Algorithmization -- Research of Information Platforms and Digital Transformation Algorithms for Post-War Recovery of Ukrainian Business -- Diagnostics as a Tool for Managing Behavior and Economic Activity of Retailers in the Conditions of Digital Business Transformation -- Methodical Approach to Assessment of Real Losses Due to Damage and Destruction of Warehouse Real Estate -- Methodical Tools for Identification and Quality Control of Design Products -- Development of Information Processes as a Prerequisite for the Sustainable Development of Agricultural Enterprises -- Development and Increasing the Value Added Scenarios for the Woodworking Industry of Ukraine in the Context of the Circular Economy -- Methodological and Technological Solutions to Improve the Security of Ukraine's Accounting System during the Hostilities -- Modeling of the Strategy of Light Industry Enterprise Behavior under Crisis Conditions of Martial Law -- Innovative Technologies to Make Effective Business Decisions at Every Stage of a Mining Company's Development -- Innovative Method of Forecasting the Manifestation of Dangerous Properties of Coal Seams -- Assessment of the Efficiency of Decentralization Transformations in the Rural Areas of Ukrainian Western Polissia: Current Trends and Challenges Under the Conditions of Martial Law -- The Technological and Environmental Effect on Marketing of Children’s Food -- Model for Universal Classification of Social Agents’ Activity/Behavior in Hierarchical Systems.

Abstract: This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.

Abstract: Comparative study between ecological and economic methods of cryptocurrency mining -- A mobile educational application based on transfer learning and computer vision for teaching semantics fields in children with intellectual disabilities -- Exploring the Factors Affecting the Service Quality of Online Shopping Applications: An Empirical Study -- A basic-electronics educational kit for memory and visuomotor coordination stimulation in senior citizens -- IPv6 in IoT -- Students' perception of professional accountant skills and knowledge -- Proactivity, a need, or a trendy word? -- A systematic review of Green intellectual capital.

Abstract: This book presents advances in the research of various entities in the world, which are working on the application of technology or management in tourism. Indeed, one of the sectors hardest hit by the pandemic was tourism, likewise one of the post-pandemic effects is the rapid recovery of the sector, but more importantly is the great innovation that has occurred in marketing strategies for tourism using technology and applying management strategies not only to be more profitable but to have the best customer satisfaction. The book is aimed at the general public that seeks to innovate, learn from lessons learned and establish a knowledge base in mechanisms that apply technology or management in tourism, with the aim of improving the experience of all those involved in the business chain. This compendium aims to share all those great experiences and researches in the areas of: Managements, Tourism, Marketing strategies in Management, Tourism and Technology, Technology, Applied Computer Science, Artificial Intelligence, Business Administration, Cloud Computing, Educational Management, Finance, Insurance and Services Management, Health Tourism, Human Resource Management, Information Systems Planning and Management, Information Technologies in Tourism, Internet Technology, Knowledge Management, Management of Supply Chain and Logistics, Marketing Innovation, Robotics, Strategic Management Innovation, Sustainability Management, Technical Economy Management, Technical Innovation and Management, Technology in Tourism and Tourist Experience, Tourism Industry and Ecology, Tourism Management, a total of 77 research projects and many spaces and relationships between researchers to collaborate in the advancement of science are presented.

Abstract: Exploring the Impact of Deep Learning Techniques on Evaluating Arabic L1 Readability -- Performance Analysis of Two Serial Concatenations of Decoders over a Rayleigh Channel -- Blockchain and Reputation Based Secure Service Provision in Edge-cloud Environments -- Exploring the Impact of Convolutions on LSTM Networks for Video Classification -- Classification algorithms implementation for fire prevention data on multiple wireless node sensors -- Implementation of an intelligent monitoring system based on Quality 4.0 of the Induction Hardning process -- Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine -- Intrusion Detection in Software-Defined Networking using Machine Learning Models -- Neural Network for link Prediction in social network -- Design and optimization of a compact Microstrip band-pass filter using on open loop rectangular resonators for wireless communication systems -- YOLO-based Approach for Intelligent Apple Crop Health Assessment -- A comprehensive review on the integration of Blockchain Technology with IPFS in IoT ecosystem.

Abstract: This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.

Abstract: This book offers a fresh perspective on smart tourism, introducing unique frameworks and insights with the potential to shape the industry's future. It explores the convergence of technology, tourism, and smart cities, emphasizing the use of smartphones, social media data, AI, blockchain, crowdsourcing, and crowdsensing to enhance tourism experiences. What sets it apart is its focus on practical solutions that require minimal infrastructure investments, making it accessible to a wide range of stakeholders. This book addresses knowledge gaps and proposes cutting-edge frameworks for smart tourism development. It is intended for researchers, academics, and professionals in tourism, technology, and urban planning. Key uses of this book include providing a comprehensive overview of the evolving smart tourism landscape and serving as a valuable resource for researchers and educators in this dynamic field.

Abstract: Few Shot Ner on Augmented Unstructured Text from Cardiology Records -- The Influence of Financial Literacy and Financial Technology on Smes' Sustainability -- The Effect of Digital and Human Capital Transformation on Sme Performance With Accounting Information Systems as an Intervening Variable -- Openvslam-based Development Framework for Web-based Vr Tours Using 360vr Videos and Its Extensions -- Implementation of a Fuzzy-based System for Assessment of Logical Trust Considering Reliability as a New Parameter -- Source Code Vulnerability Detection Based on Graph Structure Representation and Attention Mechanisms -- An Efficient Vulnerability Detection Method for 5g Nas Protocol Based on Combinatorial Testing -- Graph-based Detection of Encrypted Malicious Traffic with Spatio-temporal Features -- Fuzzing Iot Devices via Android App Interfaces with Large Language Model -- Towards the Automated Population of Thesauri Using Bert: A Use Case on the Cybersecurity Domain -- Network Scanning Detection Based on Spatiotemporal Behavior -- Iotaint: An Optimized Static Taint Analysis Method in Embedded Firmware -- An Innovative Approach to Real-time Concept Drift Detection in Network Security -- Formal Analysis of 5g Eap-tls 1.3 -- Perceiving Human Psychological Consistency: Attack Detection Against Advanced Persistent Social Engineering.

Abstract: The book presents original contributions to the theories and practices of emerging internet, data, and web technologies and their applicability in businesses, engineering, and academia. 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. 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, and mobile web services. 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. Researchers, software developers, practitioners, and students interested in the field of data and web technologies will find this book useful and a reference for their activity.

Abstract: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.

Abstract: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .

Abstract: Detection of fake news using Machine Learning -- Water_Quality_Stat_Analysis -- Customer Segmentation in Online Retail using K-means Clustering Classification and Principal Component Biplot -- Covid interactive query answering using a data cube -- Influence of Indoor Conditions on Sick Building Syndrome: A Data-Driven Investigation -- Análisis de un sistema de horarios como propuesta para la generación automática usando Machine Learning -- Taxonomy of Malicious URL Detection Techniques -- Unmanned Aerial Systems: A Systematic Literature Review -- Vulnerability Analysis - Business Case -- Information security vulnerabilities using steganography as the art of hiding information -- Artificial Intelligence for Cybersecurity: Use Cases and Country Perspective -- Analysis of Plaintext Features in DoH Traffic for DGA Domains Detection -- Cybersecurity for higher education institutions: general strategy vision -- Ethics and AI in Higher Education: A Study on Students' Perceptions.

Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2024 International Conference on Information Technology & Systems (ICITS'24), held at Universidad de La Frontera, in Temuco, Chile, between the 24th and the 26th of January 2024. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences, and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. The primary markets of this book are postgraduates and researchers in Information Systems and Technologies domains. The secondary markets are undergraduates and professionals as well in Information Systems and Technologies domains.

Abstract: Key Factors of Business Sustainability: Analysis of Human Resources’ Versus Business Performance in Case of Serbian Companies -- Robot Movement Programming and Simulation Generation for Pick and Place Materials in ABB Robot Studio -- Bucket Wheel Excavator Reliability Improvement by use of Probabilistic Approach and Fault-Tree Analysis -- Risk Management of Foreign Trade Financing of Bosnia and Herzegovina -- CAD/CAM Approach to Automation of the Production Process -- Bookshelf Scanning Mechanism with Arduino Control -- Development of a Method for Testing Temperature Distribution During 3D Printing of Specimens with Application in Aerospace Industry -- Determination of Compression Response for Various Dried Vegetables -- Energy Efficiency in Serbia: Challenges and Opportunities.

Abstract: The book is a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2023) held at Zlatibor, Serbia from 4th July to 7th July 2023. The book discusses various industrial, engineering and scientific applications of engineering techniques. Researchers from academia and industry present their original work and exchange ideas, experiences, information, techniques, applications and innovations in mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.

Abstract: 1. Introduction -- 2. Background on Integral and Inverse Reinforcement Learning for Dynamic System Feedback -- 3. Integral Reinforcement Learning for Optimal Regulation -- 4. Integral Reinforcement Learning for Optimal Tracking -- 5. Integral Reinforcement Learning for Nonlinear Tracker -- Integral Reinforcement Learning for H-infinity Control -- 6. Inverse Reinforcement Learning for Linear and Nonlinear Systems -- 7. Inverse Reinforcement Learning for Two-Player Zero-Sum Games -- 8. Inverse Reinforcement Learning for Multi-player Nonzero-sum Games.

Abstract: Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas. Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains – aircraft, robotics, power systems, and communication networks among them – with theoretical insights valuable in tackling the real-world challenges they face.

Abstract: Development and Application of Information Systems for Planning Production Activities of an Industrial Company -- Fuzzy Decision-Making Problems for Controlling Operating Modes of Technological Systems and Methods for Solving Them -- Information System for Managing Material Remuneration of Teachers and Its Analytical Potential by Example of Bauman Moscow State Technical University -- Intra System Links Dynamics as a Cause of Development Cyclicity: The Simplest Equations -- Improving the Sustainability and Safety of the City Transport System through the Application of Computer Modeling -- Development of Software for the Analysis of Socio-Economic Indicators based on Neural Networks -- Estimation of the Cost of Developing a Digital Twin using Virtual Reality Technologies in the Metallurgical Industry -- Formation of Artificial Collective Intelligence based on the Theory of Active Systems -- Nonlinear Modeling of the Population State of Gregarious Locusts -- Designing the Architecture of a Multi-Agent City Management System using Advanced Object-Oriented Modeling.

Abstract: This book covers the III International Scientific and Practical Conference "Digital and Information Technologies in Economics and Management" (DITEM2023) which was held on November 21–23, 2023. The conference addressed issues of networks and systems related to the use of information technologies in economics and management of various sectors. A distinctive feature of the conference is that it featured presentations by authors from China, Bulgaria, Uzbekistan, Oman, Kazakhstan and Russia. Researchers from different countries presented the process of transition to new information technologies of various network and system structures and sectors. The conference made it possible to develop new scientific recommendations on the use of information, computer, digital and intellectual technologies and networks in industry and fields of activity that can be useful to state and regional authorities, international and supranational organizations, the scientific and professional community.

Abstract: How Men React to Social Media Marketing is New Evidence for Marketers -- THE MALAYSIAN PEOPLE'S WELL-BEING INDEX TRENDS FROM 2016-2022 -- GREEN INVESTING AND FINANCIAL EDUCATION: THE CASE OF CHINA'S A-SHARE MARKET -- Revitalizing China Rural Industries through Innovation and Entrepreneurship Education: A Conceptual Framework -- BUILDING A RESEARCH MODEL FOR THE RELATIONSHIP BETWEEN ENTERPRISE INNOVATION VALUES AND EMPLOYEES INNOVATION BEHAVIOR: WITH INNOVATION SELF-EFFICACY AS A MEDIATOR -- Unpacking Financial Herding Behaviour: A Conceptual Study of Youth and Working Adults in Chongqing, China -- Systematic Literature Review: Behavioural Biases as The Determinants of Herding -- Conceptual Framework: Understanding the Influence of Monetary and Fiscal Policies on Investor Behavior in China's Renewable Energy Sector -- THE INTERPLAY BETWEEN INTEREST RATES, VOLATILITY, AND HERDING: INSIGHTS FROM THE CHINESE SHANGHAI STOCK MARKET -- THE ROLE OF VOLATILITY IN MEDIATING THE IMPACT OF RESERVE REQUIREMENT RATIO ON HERDING IN CHINESE SHANGHAI STOCK EXCHANGE -- Enhancing Predictive Maintenance in Manufacturing: A CNN-LSTM Hybrid Approach for Reliable Component Failure Prediction -- Advancing the Upper Echelon Theory with Environmental Dynamism and Big Data Analytics Capabilities -- APPLICATION OF THE ELEMENTS OF THE DUAL SYSTEM OF EDUCATION IN HIGHER EDUCATIONAL INSTITUTIONS -- Consumption Values and Subscription Loyalty: A Survey of Mobile Network Service Users -- Artificial Neural Network Approach for Predicting Student Achievement in Scratch Training -- Temperature control in wine fermentation using programming in LabVIEW -- ‘Roam the World, Share Your Heart’: Fostering re-participation intention among local voluntourists in Malaysia -- The Influence of Corporate Governance Structure on Directors’ ‎Remuneration Disclosure in Malaysia: An Analysis of The FTSE30 ‎Companies -- Factors Affecting Brand Loyalty Towards the Use of the Media Platform of the Federal Territories Islamic Religious Council (MAIWP) Among the Muslim Community in Kuala Lumpur -- The Development Status and Trends of Chinese Express Delivery Packaging in a Green and Low-Carbon Context -- Green Data Centers: A review of current trends and practices -- Economic Impact of Employment Generation Policies in India and Rural Poverty Alleviation: An Analytical Review -- An Empirical Study: Long Run and Short Run Impact of Macroeconomic Variables on Indian Stock Market Prices -- Last-Mile Delivery Innovations: The Future of E-commerce Logistics -- IS ESG THE KEY TO STIMULATE FINANCIAL PERFORMANCE? AN EMPIRICAL INVESTIGATION -- The Impact of High-Performance Work System on ‎Intellectual Capital, Organizational Resilience and ‎Innovation Growth: Evidence from the Micro Small ‎Medium Enterprise -- Role of Mosque Management Committee in Empowering the Muslim Community in India - A Systematic Review -- Beyond Humor: How Memes Shape Brand Associations and Drive Purchase Choices -- Green Consumers Purchase Intention and Sustainable Consumption of Organic Food Products: A Conceptual Framework for the Indian Middle-Class Market -- Voices of the Future: Generation Z's Views on AI's Ethical and Social Impact -- The Influence of Perceived Information Quality on Travel Satisfaction in Kuala Lumpur: A Perspective of Generational Difference -- A Study on Industrial Sustainability and the Growth of Environmental Stability: Path towards Green Development: A Review -- JUVENILE WORKER - AN IMPACT OF BPL FAMILY -- Quality Management Practices and Strategic Impact ‎on Performance Measures in Yemen's Construction In‎dustry -- Reforms in Indian Banking Sector: A Paradigm Shift in Growth and Financial Inclusion in India -- The mediating impact of strategic leadership on the relationship between digitalization and strategic planning of retail pharmacies -- The Role of Innovation in Waste Management for Enterprises: A Critical Review of the Worldwide Literature -- Application of High-Performance Work System with AI in employee recruitment and performance evaluation -- Training Needs Assessment for Operator Level Employees in Parking Management DKI Jakarta -- EXPLORING ECOLOGICALLY CONSCIOUS CONSUMER BEHAVIOUR (ECCB) SCALE FROM THE OUTLOOK OF HOUSEHOLD CONSUMERS -- The Role of Transportation Vehicle, Transportation Infrastructure, and Resistance to Change in Public Transport Towards Climate Change -- An Impact Analysis of Non-Performing Asset (NPA) of Banks on Profitability of the Banks in India -- The Impact of Online Learning and Soft Skills on College Student Satisfaction and Course Feedback -- Factors affected EMA adoption: The moderating role of ‎resource bricolage -- Optimizing Supply Chain Through Risk Analysis: A Path to Enhanced Efficiency and Resilience -- SEARCH ENGINE MARKETING ON THE PERFORMANCE OF SMALL – ‎MEDIUM ENTERPRISES: A MEDIATING VARIABLE OF CULTURE -- Capacity for innovation frugal: the look from companies incubated in park ‎technology and inco-working spaces -- CUSTOMS LOGISTICS IN THE CONDITIONS OF WAR IN UKRAINE -- People's Perceptions of the Benefits, Risks, and Acceptance of Services Delivered ‎by Drones in the United Arab Emirates -- Exploring the Dynamics of Bitcoin Volatility During the ‎COVID-19 Pandemic and Vaccination Rollout -- Financial Literacy Scale Development: Reliability and Validity Analysis on Managers in ‎Institutions Affiliated to Istanbul Provincial Health Directorate -- Limited Ownership and the Power of Sharing Tangible ‎and Intangible Assets -- SATISFACTION OF TRAVELERS TOWARDS USING INSTAGRAM ‎AS MEDIUM OF SEARCHING FOR DESTINATIONS WITH ‎REFERENCE TO BANGLORE CITY- SEM APPROACH -- A Look on Sustainable Human Development, Gender Gap and Welfare: Evidence from ‎Capital Markets.

Abstract: This book aims to provide a comprehensive understanding of the interplay between technology and business and its implications for future growth and innovation. In today's rapidly changing world, technology plays a crucial role in shaping the business landscape. Advancements in artificial intelligence, blockchain, data analytics, and automation have revolutionized how organizations operate, compete, and achieve success. Understanding the profound impact of technology on business is vital for entrepreneurs, managers, policymakers, and academics alike. This book aims to explore the connection between technology and business, highlighting its importance in driving transformative changes across various industries. We welcome scholars, researchers, and practitioners to share their expertise and insights in this exciting endeavor. This book captures the essence of exploring the dynamic relationship between technology and business, emphasizing the potential for innovation and growth. It conveys the idea of embracing the transformative power of technology within the business realm and the opportunities it presents for unleashing new ideas and strategies. By delving into various aspects such as emerging technologies, business strategies, innovation, and ethical considerations, it aims to provide a comprehensive understanding of the symbiotic relationship between technology and business. It offers insights into the integration of technology into decision-making processes, the transformative impact on different industries, and strategies for leveraging technology to drive organizational growth and sustainability. Furthermore, the book highlights real-world case studies, explores emerging trends, and discusses the ethical and social implications of technology adoption in the business context. It serves as a valuable resource for entrepreneurs, managers, policymakers, academics, and anyone interested in understanding and harnessing the potential of technology for business success. This book aims to be a valuable resource for individuals interested in the transformative power of technology in the business realm. By compiling a collection of insightful chapters, it offers readers a diverse range of perspectives, frameworks, and case studies that shed light on the complexities and opportunities associated with technology-driven business environments.

Abstract: Welcome to the Age of ChatGPT -- The Coming ChatGPT -- Exploring the Interpretability of Sequential Predictions through Rationale Model -- AI in Education: An Overview -- Adopting the Power of AI Chatbots for Enriching Students Learning in Civil Engineering Education: A Study on Capabilities and Limitations -- Revolutionizing Education of Art and Design through ChatGPT -- ChatGPT-Artificial Intelligence Studies of Business Analytics Adoption and Usage.

Abstract: This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias. Overall, the use of ChatGPT in education has the potential to revolutionize the way we learn, teach, and access information. The book seeks to publish original manuscripts that cover a broad range of topics, from the development of new chatbot technologies and their integration into the classroom, to the examination of the ethical and pedagogical implications of these systems. By compiling the latest developments in the field and highlighting new areas for exploration, this book provides valuable insights and perspectives for researchers, educators, and practitioners working in the field of ChatGPT and education. The ultimate goal is to advance the understanding of ChatGPT and its role in education and to promote its effective and responsible use in the classroom and beyond.

Abstract: Organizational, Financial, and Informational Restructuring in the System of Demonopolization of the Transport Complex of Ukraine in the Conditions of the Knowledge Economy -- Modeling of the Key Threats and Identification of the Prospects for Social Security Support in the Sphere of Employment and Labor Payment in Ukraine -- Formation of Marketing Competencies in Case of Startups Integration into the Intellectualized Market Space -- Information Systems for Vehicles Technical Condition Monitoring -- Model for New Innovation Knowledge Spreading in Society -- Informational and Digital Business Security in Tourism as a Component of the Coastal Region Competitiveness -- Economic Assessment of Outsourcing of Intellectual and Information Technologies -- Digitalization of Consumers’ Behavior Model in the Dairy Market -- Modelling and Information Support for Assessing the Potential for Increasing the Financial Stability of Enterprises -- Transformation ofa Regional IT Cluster into a Cross-Border IT Cluster as a Direction of it Business Development Under the Conditions of Negative Influence of External Factors -- Formation of Organizational Change Management Strategies Based on Fuzzy Set Methods -- Modeling the Level of Implementation of BIM by Enterprises as a Means of Optimizing the Cost -- Digital Promotion as Innovative Business Management Technologies of Retail Chains -- Support for the Development of Educational Programs with Graph Database Technology -- Information Technology for Identifying Hate Speech in Online Communication Based on Machine Learning -- Method for Counting Animals in Motion for the Milking Plant Information Systems -- Cryptocurrency as a Tool for Attracting Investment and Ensuring the Strategic Development of the Bioenergy Potential of Processing Enterprises in Ukraine.

Abstract: This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.

Abstract: This book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.

Abstract: Visualizing the Unseen: Unleashing Knowledge Discovery with Lossless Visualizations -- Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling -- Full High-dimensional Intelligible Learning In 2-D Lossless Visualization Space -- Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization -- Parallel Coordinates for Discovery of Interpretable Machine Learning Models -- Visual Knowledge Discovery with General Line Coordinates -- Unveiling Insights: Empowering AI/ML through Visual Knowledge Discovery.

Abstract: This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges. This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens. .

Abstract: Introduction -- Review on the main drone applications and the technologies associated. -- Drones in precision agriculture -- Drones in aerospace field -- Drones in forest control -- Drones in maritime applications -- Drones in defense -- Drones in smart cities -- Drones for aerial photography -- Shipping and delivering.

Abstract: This book explores drone applications and the cutting-edge technologies that drive their functionality. From transforming everyday challenges like traffic congestion to enhancing efficiency in fields such as search and rescue operations, protection of critical infrastructure, and medicine, the book explores how drones serve as powerful allies to address diverse human needs. The chapters not only showcase the applications of drone technology but also shed light on how these vehicles can revolutionize commonplace tasks, such as delivering packages with unprecedented efficiency. The book also explores technological intricacies, regulatory considerations, and the evolving demands of today's consumers. By providing a holistic view, it equips readers with a deep understanding of the multifaceted landscape surrounding drone technology.

Abstract: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.

Abstract: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.

Abstract: Digital Transformation of public services: Introduction, Current Trends and Future -- Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Usage of Modern API for automization of Government procedures -- Epidemiology inspired Cybersecurity Threats Forecasting Models applied to e-Government -- The provision of e-services by public administration bodies and their cybersecurity -- The provision of e-services by public administration bodies and their cybersecurity -- Fuzzy Logic Architecture for Availing the E-Governance Health Care Services by Rural Citizens -- Enhancing the efficiency and the security of e-Government: the French case study of human resources applications.

Abstract: This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent. Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.

Abstract: An Overview on the Use of Machine Learning Algorithms for Identifying Anomalies in Industrial Valves -- Framework for Real-time Predictive Maintenance supported by Big Data Technologies -- Emotional evaluation on open-ended responses with transformer models -- Big data analytics in the supply chain: a bibliometric review of scholarly research from 2012 to 2023 -- Human-machine interface based on electromyographic (EMG) signals aimed at limb rehabilitation for diabetic patients -- Incidence assessment of diabetes by delegation in the United Mexican States applying the multilayer perceptron neural network -- Exploiting Physarum-inspired Vacant Particle Transport Model to Redesign an Enterprise Network -- SIMULATION OF AUTONOMOUS DRIVING SYSTEMS FOR THE CITY OF MACAS USING MATLAB DRIVING SCENARIO DESIGN APP.

Abstract: This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

Abstract: This book presents the papers included in the proceedings of the 7th International Conference of Reliable Information and Communication Technology 2023 (IRICT 2023) that was held in Pulai Springs Resorts, Johor, Malaysia on 27-28, December 2023. IRICT 2023 is organized by the Yemeni Scientists Research Group (YSRG) and Big Data Center in Universiti Teknologi Malaysia (Malaysia) in collaboration with Association for Information Systems – Malaysia Chapter (MyAIS) and College of Engineering, IT and Environment at Charles Darwin University (Australia). IRICT2023 is a forum for the presentation of technological advances in the field of Information and Communication Technology. The main theme of the conference is “Advances in Intelligent Computing Techniques and Applications”. The book discusses several research topics such as Health Informatics, Artificial Intelligence, Soft Computing, Data Science, Big Data Analytics, Internet of Things (IoT), Intelligent Communication Systems, Cyber Security, and Information System. These papers were presented in three parallel sessions during the two days.

Abstract: Abstract ordinary and fractional neural network approximations based on Richard’s curve -- Abstract Multivariate Neural Network Approximation based on Richard’s curve -- Parametrized hyperbolic tangent based Banach space valued basic and fractional neural network approximations -- Parametrized hyperbolic tangent induced Banach space valued multivariate multi layer neural network approximations -- Banach space valued neural network approximation based on a parametrized arctangent sigmoid function -- Parametrized arctangent activated Banach space valued multi layer neural network multivariate approximation -- Banach space valued Ordinary and Fractional neural networks approximations based on the parametrized Gudermannian function -- Parametrized Gudermannian activation function based Banach space valued neural network multivariate approximation -- Banach space valued univariate neural network approximation based on parametrized error activation function -- Banach space valued multivariate multi layer neural network approximation based on parametrized error activation function -- Hyperbolic Tangent Like based univariate Banach space valued neural network approximation -- Banach space valued neural network multivariate approximation based on hyperbolic tangent like activation function -- Banach space valued ordinary and fractional neural network approximations based on q-deformed hyperbolic tangent activation function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed hyperbolic tangent activation function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed and λ-parametrized A-generalized logistic function -- Banach space valued ordinary and fractional neural network approximation based on q-deformed and λ-parametrized A-generalized logistic function -- Banach space valued multivariate multi layer neural network approximation based on q-deformed and λ-parametrized hyperbolic tangent function -- q-Deformed and λ-parametrized hyperbolic tangent based Banach space valued ordinary and fractional neural network approximation -- Banach space valued multivariate multi layer neural network approximation based on q-Deformed and parametrized half hyperbolic tangent -- Banach space valued ordinary and fractional neural network approximation based on q-deformed and β-parametrized half hyperbolic tangent -- General sigmoid relied Banach space valued neural network approximation -- General sigmoid induced Banach space valued neural network multivariate approximation -- Fuzzy basic and fractional general sigmoid function generated neural network approximation -- Multivariate Fuzzy Approximation by Neural Network Operators induced by a general sigmoid function -- Multivariate Fuzzy-Random and stochastic general sigmoid activation function generated Neural Network Approximations -- Voronovskaya type asymptotic expansions for general sigmoid functions induced quasi-interpolation neural network operators -- Multiple general sigmoids activated Banach space valued neural network multivariate approximation -- Quantitative Approximation by Multiple sigmoids KantorovichChoquet quasi-interpolation neural network operators -- Degree of Approximation by Multiple sigmoids KantorovichShilkret quasi-interpolation neural network operators -- Approximation by Neural Networks of Brownian Motion -- Neural Networks Approximation of Time Separating Stochastic Processes -- Fractional Calculus between Banach spaces together with Ostrowski and Gr¨uss kind of inequalities -- Sequential Fractional Calculus between Banach spaces and corresponding Ostrowski and Gr¨uss kind of inequalities.

Abstract: In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry of the brain is best expressed by deformed activation functions. Along with a great variety of activation functions, general activation functions are also engaged. Thus, in this book, all presented is original work by the author given at a very general level to cover a maximum number of different kinds of neural networks: giving ordinary, fractional, fuzzy and stochastic approximations. It presents here univariate, fractional and multivariate approximations. Iterated sequential multi-layer approximations are also studied. The functions under approximation and neural networks are Banach space valued.

Abstract: Introduction -- Diagnosis of constant Faults at Inputs of Gates in Circuits -- Diagnosis of Embedding Faults in Circuits -- Diagnosis of Extensions of Constant Faults in Circuits -- Diagnosis of Retaining Faults in Circuits -- Diagnosis of Constant Faults in Switching Networks.

Abstract: In this book, we study decision trees for fault diagnosis in circuits and switching networks, which are among the most fundamental models for computing Boolean functions. We consider two main cases: when the scheme (circuit or switching network) has the same mode of operation for both calculation and diagnostics, and when the scheme has two modes of operation—normal for calculation and special for diagnostics. In the former case, we get mostly negative results, including superpolynomial lower bounds on the minimum depth of diagnostic decision trees depending on scheme complexity and the NP-hardness of construction diagnostic decision trees. In the latter case, we describe classes of schemes and types of faults for which decision trees can be effectively used to diagnose schemes, when they are transformed into so-called iteration-free schemes. The tools and results discussed in this book help to understand both the possibilities and challenges of using decision trees to diagnose faults in various schemes. The book is useful to specialists both in the field of theoretical and technical diagnostics. It can also be used for the creation of courses for graduate students.

Abstract: This open access book presents the proceedings of the 10th Machine Intelligence and Digital Interaction Conference. Artificial intelligence (AI) is rapidly affecting more aspects of our lives as a result of significant advancements in its research and the widespread usage of interactive technologies. This has led to the birth of several new social phenomena. Many nations have been working to comprehend these phenomena and discover solutions for moving artificial intelligence development in the proper direction to benefit individuals and communities at large. These efforts necessitate multidisciplinary approaches, encompassing not only the scientific fields involved in the creation of artificial intelligence and human–computer interaction but also strong collaboration between academics and practitioners. Because of this, the primary objective of the MIDI conference, which was conducted online on December 13–15, 2022, is to combine two up until recently distinct disciplines of research—artificial intelligence and human–technology interaction.

Abstract: Application of Machine intelligence in Smart Societies: A critical review of the opportunities and risks -- Machine Learning based Recommender Systems for Crop Selection: A Systematic Literature Review -- Convolutional Neural Network for Identification and Classification of Weeds in Buckwheat Crops -- Cluster analysis as a tool for the territorial categorization of energy consumption in buildings based on weather patterns -- A Quantum Machine Learning Model for Medical Data Classification -- Supporting and Shaping Human Decisions through Internet of Behaviors (IoB): Perspectives and Implications -- A machine learning based approach for diagnosing pneumonia with boosting techniques -- Harnessing the Power of ChatGPT for Mastering the Maltese Language: A Journey of Breaking Barriers and Charting New Paths -- A new autonomous navigation system of a mobile robot using supervised learning -- Evolutionary AI-Based Algorithms for the optimization of the Tensile Strength of Additively Manufactured Specimens -- Securing data conveyance for dynamic source routing protocol by using SDSR-ANNETG technique -- REGIONAL LANGUAGE TRANSLATOR AND EVENT DETECTION USING NATURALLANGUAGE PROCESSING.

Abstract: This book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusses potential solutions to address these limitations. All these aspects are explored through the lens of smart applications. The book navigates the landscape of the most recent, prominent, and impactful MI smart applications. The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government. The book examines not only present smart applications but also takes a look at how MI may potentially be applied in the future. This book is aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies. The book is also valuable for practitioners, and it serves as a bridge between researchers and practitioners. It also helps connect researchers interested in MI technologies who come from different social and business disciplines and who can benefit from sharing ideas and results.

Abstract: Construction and Operation Analysis of Logistics Sorting Simulation Experimental Platform -- Analysis on Ventilation Design of the Negative Pressure Isolation Rooms in Wuhan Leishenshan Hospital -- Multi Object Infrared Image Segmentation Based on Multi-Level Feature Fusion -- Spear-man Correlation Data Analysis of Scale of Intelligent Logistics and Investment and Financing of Logistics Technology -- Neural Network Model for Laboratory Stand Control System Controller with Parallel Mechanisms -- Web Application State Management Performance Optimization Methods -- Design and Implementation of Signal Acquisition System Based on FPGA and Gigabit Ethernet -- Design of a Dynamic Probability-based Automatic Test Paper Generation System -- The Extended Fredkin Gates with Reconfiguration in NCT Basis -- Applying Data Mining Techniques in People Analytics for Balancing Employees' Interests -- Object-Oriented Model of Fuzzy Knowledge Representation in Computer Training Systems -- Implementation of Optical Logic Gates Based on Color Filters -- Enhancing Readability in Custom Templates for Displaying Semantically Marked Information -- Metaheuristic Optimization Algorithms Usage in Recommendation System with User Psychological Portrait Generation -- Interest Point Detection at Digital Image Based on Averaging of Function.

Abstract: This book contains high-quality refereed research papers presented at the 6th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2023), which took place in Warsaw, Poland, on March 17–19, 2023, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute”, the National Aviation University, Lviv Polytechnic National University, the Polish Operational and Systems Society, Warsaw University of Technology, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education.

Abstract: Distributed Crowdsensing Based on Mobile Personal Data Stores -- FreeDSM: An open IoT platform for ambient light pollution monitoring -- NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions -- Dynamic Service Level Agreements and particle swarm optimization methods for an efficient resource management in 6G mobile networks -- Exploring Fatigue in the Workplace: A Data-Driven Approach Using Physiological Signals Captured by a Wristband -- Federated Learning for Industry 5.0: A State-of-the-Art Review -- Modelling Discriminators for Energy Generation of Photovoltaic Systems by Adversarial Networks -- Shedding Light on the Energy Usage of Activity Recognition Systems in Homes -- User IoT Interface Design for Smart Homes: An Information Architecture Approach -- Evaluation of the Jetson Nano on the analysis of risk patterns in multimodal traffic intersections -- Extending LoRaWAN with Real-Time Scheduling.CertifIoT: An IoT and DLT-Based Solution for Enhancing Trust and Transparency in Data Certification .

Abstract: This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike. The primary aim of this book is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world.

Abstract: Forcing the Network to use Human Explanations in its Inference Process -- Fuzzy Inference System-based Collision Avoidance of Unmanned Aerial Vehicles Optimized using Genetic Algorithm -- Fuzzy Logic-aided Inverse Kinematics Control for Redundant Manipulators -- Growth Kinetics of Gold Nanoparticles via p-fuzzy systems -- Optimization of Artificial Potential Field using Genetic Algorithm for Human-aware Navigation of Autonomous Mobile Robots -- Genetic Fuzzy Threat Assessment for Asteroids 2600 Derived Game -- Deep Learning ANFIS Architectures -- A Fuzzy Inference System for an Optimal Spacecraft Attitude State Trajectory -- Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty -- People Prefer More Information About Uncertainty, But Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon.

Abstract: This book is an overview of latest successes and applications of fuzzy techniques—techniques that use expert knowledge formulated by natural-language words like "small". Engineering applications deal with aerospace (control of spacecrafts and unmanned aerial vehicles, air traffic control, airport passenger flow predictions), materials (designing gold nano-structures for medicine, catalysis, and sensors), and robot navigation and manipulation. Other application areas include cosmology, demographics, finances, wine production, medicine (diagnostics, epidemics control), and predicting human behavior. In many cases, fuzzy techniques are combined with machine learning AI. Due to natural-language origin of fuzzy techniques, such combination adds explainability (X) to AI. This book is recommended to students and practitioners interested in the state-of-the-art fuzzy-related XAI and to researchers willing to take on numerous remaining challenges.

Abstract: This book aims to highlight the latest achievements in the use of AI in personalized medicine and healthcare delivery. The edited book contains selected papers presented at the 2023 Health Intelligence workshop, co-located with the Thirty-Seven 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 in medicine and public health. .

Abstract: This book constitutes the refereed proceedings of the 5th International Congress on Blockchain and Applications 2023, BLOCKCHAIN’23, held in Guimarães, Portugal, in July 2023. Among the scientific community, blockchain and artificial intelligence are a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and artificial intelligence should be used together. The full papers presented in the main track were carefully reviewed. They contain the latest advances on blockchain and artificial intelligence and on their application domains, exploring innovative ideas, guidelines, theories, models, technologies, and tools and identifying critical issues and challenges that researchers and practitioners must deal with in the future research. The authors would like to thank all the contributing authors, the members of the Program Committees, the sponsors, and the Organizing Committee of the University of Minho and the University of Salamanca for their hard and highly valuable work.

Abstract: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

Abstract: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Abstract: 1. Introduction to dynamical systems -- 2. Basic ingredients of nonlinear systems dynamics -- 3. Oscillations in physical systems -- 4. Oscillatory Chemical Systems -- 5. Oscillations in Biological Processes -- 6. Energy Flow Analysis of Nonlinear Dynamical Systems -- 7. Artificial Intelligence in the Service of Dynamical Systems -- Subject Index . .

Abstract: This book keeps an eye in the direction of applications of advanced and high performance scientific computing in describing the behavior of natural and constructed systems, e.g. chaos, bifurcation, fractal, Lyapunov exponent, period doubling, Poincaré map, strange attractor etc. With the aid of powerful computers the modem theory of chaos and its geometry, the fractals, and attractors are developed. The concepts of object oriented computing are introduced early in the text and steadily expanded as one progresses through the chapters. The beginning of each chapter is of an introductory nature, followed by practical applications, the discussion of numerical results, theoretical investigations on nonlinear stability and convergence. This is the first complete introduction to process modelling and computing that fully integrates software tools — enabling professionals and students to master critical techniques hands on through computer simulations based on the popular MATLAB environment. The book offers a simple tool for all those oscillations that are travelling through the world, helping them discover its hidden beauty. Many applications as well as results of computer simulations are presented. The center of concern is set on existing as well as emerging continuous methods of investigations useful for researchers, engineers and practitioners active in many and often interdisciplinary fields, where physics, electrochemistry, biology and medicine play a key role. Coverage includes: • Dynamic behavior of nonlinear systems, • Fundamental descriptions of processes exhibiting nonlinear oscillations, • Mechanism and function of structures of nonlinear oscillations’ patterns, • Analysis of dynamical oscillations in electric circuits and systems, • Artificial intelligence models of natural systems, • Nonlinear oscillations in chemistry, biology and medicine, • Oscillations in mechanics and transport systems, • Oscillations in fractional-order systems, • Energy harvesting systems from the surrounding environment. With an insatiable appetite for exploring the surrounding world and doing research, this book can help readers quickly find ways to use new computers and facilitate the quest for greater knowledge and understanding of reality. The reach of novelty of the book ranges from new mathematical ideas to motivating questions and science issues in many subject areas.

Abstract: Evaluation of the Metaverse: Perspectives of Travel Agency Employees -- Transitioning the Tourism Industry from the Real World to the Metaverse -- The Impact of Management Information Systems on International Human Resource Management: Moderat-ing Role of Metaverse Culture -- Impact of Metaverse at Workplace: Opportunity and Challenges -- Measuring the Possibility of Adopting Metaverse Technology as an Appropriate Strategy to Achieve a Sustainable Competitive Advantage -- Unveiling The Quality Perception of Productivity from The Senses of Real-Time Multisensory Social Interactions Strategies in Metaverse -- Factors Influencing School Teachers’ Intention to Adopt Open Virtual Educational Resources Platform in Saudi Arabia -- How are Brand Activity and Purchase Behavior Affected by Digital Marketing in the Metaverse Universe -- The Effect of Religion on Metaverse Marketing -- Understanding Metaverse Adoption Strategy from Perspective of Social Presence and Support Theories: The Moderating Role of Privacy Risks -- Employing Metaverse technologies to improve the quality of the educational process -- Influence of Authentic Leadership Practices on Innovative Work Behaviour in Higher Educational Institutions: A Virtual Reality Perspective -- The role of Virtual reality technology in disclosing future information: An applied study in the Investment Bank and the Bank of Baghdad -- The Effect of Marketing Mood Management in enhancing Organizational Sustainability: Evidence from Virtual Marketing Platforms.

Abstract: This book explores current research trends in the context of the Metaverse’s impact on the tourism and marketing industries while delving into some case studies on education and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of the Metaverse.

Abstract: This book is composed by the papers written in English and accepted for presentation and discussion at The 2023 International Conference on Information Technology & Systems (ICITS'23), held at Universidad Nacional de San Antonio Abad del Cusco, in Cusco, Peru, between the 24th and the 26th of April 2023. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication. .

Abstract: Bagging vs Boosting ensemble classifiers in predicting companies' financial status -- The Effect of Automated Teller Machines and Broadband on Bank Profitability: Evidence from Southeast -- Business Sustainability in Hypercompetitive Contexts -- On the Dependence of Drop-Out Rates on Cohort Size in Public Universities -- Digitalization of Sustainability Reporting - Current Trends and Future Problems -- An Empirical Study of the Effect of Enterprise Resource Planning System on Tobin's Q -- The Role of User Engagement and Instagram Influencer in a Corporate SNS Account -- Toward an Understanding of Cutting-Edge Technologies in Financial Industry: Cryptocurrency Adoption -- Smart Contracts and Blockchain-based Tools for Privacy-Preservation -- Digital CSR and corporate sustainability moderated by perceived technological environmental uncertai -- Impact of Dynamic Capabilities and Organizational Agility on the Competitive Performance: The Mediating Role of Organizational Learning -- Industry 4.0 technologies and environmental performance: The moderating effect of coercive power -- Women empowerment in the age of social commerce: An empirical study -- Cutting-Edge Business Technology Which Creates Business Disruption While Supporting the Sustainable Development Goals of the United Nations -- Applying the Stimulus-Organism-Response Framework to Investigate Influencer Attributes on the Intention to Purchase Electric Vehicles -- Using Business Intelligence Tools in Accounting Education -- The Role of Green Banking in Achieving Sustainable Development -- Betting the bottom dollar on ESGs impacts long-term market value. The case of European energy firms -- The Impact of Cash Liquidity on the Sustainability of Corporate Financial Growth -- Adopting Smart Systems and its Impact on Reducing Work Exhaustion: An Exploratory Study -- The Potential Role of Blockchain Technology in Addressing Development Challenges in Developing Count -- Intellectual Capital and Sustainable Competitive Advantage: The Mediating Role of Marketing Knowledg -- Evaluation of the Water Retention Capacity of a Pioneering Sustainable Liquid Natural Clay -- In the Big Data Era The Impact of orthodontic treatment on the periodontal health -- A Systematic Review of Green Economy and Energy Efficiency Nexus -- Artificial Intelligence Applicability in Orthodontics: Quo Vadis Orthodontics? -- Circular Economy Practices in Higher Education Institutions: Towards a Sustainable Development -- The Mediating role of Green Disclosures on the relationship between Sustainability and Financial Per -- Big data analytics and sustainability accounting and reporting: Evidence from Canada -- Perceived Service Quality of Mobile Banking and Co-Creation Intention -- Influence of Data-Driven Digital Marketing Strategies on Organizational Marketing Performance: Media -- Environmental Performance Index and GDP growth rate relationship in emerging countries in Europe.

Abstract: This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?

Abstract: Approach to Development of Digital Twin Model for Cyber-Physical System in Conditions of Conceptual Uncertainty -- Constructing Mathematical Models for Actuarial Processes -- Functional Planning Optimization of Exploiting Underground Space in Large Cities Using System Methodology -- Analysis and Modelling of the Underground Tunnel Planning in Uncertainty Conditions -- Stabilization of Impulsive Processes of the Cognitive Map to Cryptocurrency Usage with Multirate Sampling and Coordination between Some Nodes Parameters -- Wireless Sensor Networks for Healthcare on SoA -- Improving Predictive Models in the Financial Sector Using Fractal Analysis -- K-lr Modeling with Neural Economy and its Utilization in Unclear Data -- Formalization and Development of Autonomous Artificial Intelligence Systems -- Attractors for Differential Inclusions and Their Applications for Evolution Algorithms -- System Analysis and Method of Ensuring Functional Sustainability of the Information System of a Critical Infrastructure Object -- Intellectual Data Analysis and Machine Learning Approaches for Car Insurance Rates Reconstruction -- On Generation of Daily Cloud-Free Satellite Images at High Resolution Level -- Computational Intelligence for Digital Healthcare Informatics -- Continuous and Convex Extensions Approaches in Combinatorial Optimization -- Action Encoding in Algorithms for Learning Controllable Environment -- Comparison of Constrained Bayesian and Classical Methods of Testing Statistical Hypotheses in Sequential Experiments -- Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere -- Neo-Fuzzy Radial-Basis Function Neural Network and Its Combined Learning -- Investigations of Different Classes Hybrid Deep Learning Networks and Analysis of Their Efficiency in Forecasting -- Generalized Models of Logistics Problems and Approaches to Their Solution Based on the Synthesis of the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies -- Technological Principles of Using Media Content for Evaluating Social Opinion -- Scenario Modelling in the Context of Foresight Studies -- Assessing the Development of Energy Innovations and Its Impact on the Sustainable Development of Countries -- Studies of the Intercivilization Fault Level Dynamics -- Exploring the Vulnerability of Social Media for Crowdsourced Intelligence under a False Flag.

Abstract: This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.

Abstract: T opKW S Algorithm in the Map-Reduce paradigm for Cloud Computing QoS Recommendation System -- A New Context-Based Factorization Machines for Context-aware Recommender Systems -- Review of Recommendation Systems and their Applications in e-Learning -- Improvement of Courses Recommendation System using Divide and Conquer Algorithm -- Deep Reinforcement Learning in Financial Markets Context: Review of Open Challenges -- A Survey of Parallel Computing: Challenges, Methods and Directions -- A bi-LSTM neural network to forecast stock Market Index -- Fast Yolo V7 based CNN for video streaming Sea Ship recognition and sea surveillance -- Graph convolutional network for multilingual sentiment analysis -- Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM -- Sarcasm Detection on Social Media using Machine Learning Approach -- School Dropout Prediction using Machine Learning Algorithms -- SURVIVAL PREDICTION IN PATIENTS WITH NASOPHARYNGEAL CANCER USING MACHINE LEARNING METHODS -- Comparative Analysis of Skyline Algorithms used to Select Cloud Services based on QoS -- A state-of-the-art Survey on Ransomware Detection Using Machine Learning & Deep Learning -- Improving the Application of Blockchain Technology For Tracking Processes in the Supply Chain Integrated Business Intelligence -- Studying Consensus Mechanisms for Blockchain -- Design and Construction of a Smart Agricultural Greenhouse -- Implementation and Management of a Home Automation Control System (Smart Home) -- A comparative study of consensus algorithms used in Blockchain and their adaptation to the IoT networks -- Dynamics behavior of vehicular traffic flow in a scale-free complex network -- Customer Journey Map Discovery Approach -- Unmanned aerial vehicle-assisted clustered wireless sensor network data collection efficiency improvement -- Synergistic Fibroblast Optimization Algorithm for Solving Knapsack Problem -- ACCEPTANCE OF JOB ACCESS WITH SPEECH (JAWS) AS AN ASSISTIVE COMPUTER APPLICATION SOFTWARE -- Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation. .

Abstract: This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.

Abstract: Medical Imaging and 3D/4D Surgical Visualization -- Healthcare/Medical Information Systems Supporting Patients and the Public -- Management of Healthcare and Medical Information Systems -- Design and Analysis of Health/Medical Records -- Healthcare/Medical Networking and Care Sharing -- Healthcare/Medical Data Representation and Analysis -- Simulation and Modelling in Healthcare -- Health and Medical Informatics Education.

Abstract: This book is comprehensive with most of its contents following the recommendations of international health and medical informatics associations and societies. To this extent it covers the areas of healthcare and medical information systems, management of healthcare and medical information systems, healthcare/medical information systems supporting patients and the public, healthcare/medical networking and care sharing, medical imaging and 3D/4D surgical visualization, design and analysis of health/medical records, health/medical data representation and analysis, simulation and modeling in healthcare, and health and medical informatics education. The book provides an excellent professional development resource for educators and practitioners on the state-of-the-art Health and Medical Informatics. It covers many areas and topics of Health and Medical Informatics and contributes toward the enhancement of the community outreach and engagement component of Health and Medical Informatics. Various techniques, methods, and approaches adopted by Health and Medical Informatics experts in the field are introduced. Furthermore, it provides detailed explanation of the Health and Medical Informatics concepts that are aptly reinforced by applications and some practical examples and a road map of future trends that are suitable for innovative Health and Medical Informatics.

Abstract: This volume is composed of selected papers from two conferences held in Warsaw, Poland on October 13-15, 2022: the BOS/SOR’2022 - National Conference on Operational and Systems Research, one of premiere conferences in the field of operational and systems research, and the Twentith International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN-2022, one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the Generalized Nets (GNs). A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization, and – from a substantial point of view – combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.

Abstract: Part I: From Building Blocks to Augmented Reality Glasses - Technologies for Gaming -- The Metaverse: Changing the Landscape of Media Education -- Application of Phygital Games at the University in the Context of Digitalization -- An EON-XR Augmented Reality Application for Motivation Stimulation and Vocabulary Training of Master’s Degree Students Majoring in Civil Engineering -- Game Technologies and High-Fidelity Patient Simulation in the field of Psychology and Medicine -- Video Games in Teaching Audiovisual Translation to University Students -- Development of a Play and Program Mobile Application Based on the Gamification Methodology -- Experience of Non-linguistics Students Creating Online Games on Foreign Language Grammar -- Part II: Games in Various Educational Environments -- Using Game Practices to Identify Teams Capable of Generating Entrepreneurial Ideas -- The Phenomenon of "Social Responsibility" as a Construct of the Humanitarian Educational Ecosystem for the Training of Future Engineers: Perspectives, Forms, Approaches -- The Use of Gamification Elements for the Development of Creativity in Engineering -- Designing Tabletop Games for Individuals with Disabilities through Student Project activity -- Computer Games and Literary Education: Opportunities and Limitations -- A Gamification Conceptual Framework for Marketing Courses -- The Formative Role of "Model UN" in the Development of the Professional Personality of Diplomats -- Unlocking the Power of Gamification: Evaluating the Efficacy of Wizer.me in EFL Vocabulary Acquisition -- Assessment of the Creative Freedom of Students Trained in the Acting Technique "Demidov Études" -- The Development of Ethno-Cultural Empathy within a Multicultural Educational Environment: Peculiarities and Role-Playing Experiences -- Moot Court Competition in a Foreign Language : Developing Professional Competencies through a Business Game -- Gaming Technologies in the Formation of Legal Students’ Professional Competencies: Moot Courts -- Technologies for Innovative Potential Development of University Students majoring in Engineering -- Gamification in Teaching Foreign Languages to Economics Students: A Case Study -- Visual Novels as a Means of Business Communication Skills Development for Computer Science Students -- WebQuest as a Means for Students’ Soft Skills Development in Engineering Foreign Language Education -- Problem-Based Role Plays in Teaching English to Students of Humanities -- A Business Game Introduction into Foreign Language Training of Materials Science and Engineering Students -- Gamification in Foreign Language Education: Development of Lexical Skills in Teaching a Second Foreign Language at the University -- Gamified Communication as a Didactic tool for Mastering a Professionally Oriented Video Course in a Foreign Language -- The use of role-playing games to develop the skills of constructive communication of healthcare professionals -- The Use of Games in English Language Lessons as a Means of Communication.

Abstract: This book reflects the various dimensions of play. It gathers together experience with role-play, tabletop, and online games and develops and assesses tools. It also reflects the human condition in this world of games as it becomes a digital world. We are living in a World of Games where every game is a world through which we learn about the world. A World of Games is fun and engaging, but it also provides deceptive pleasures. What may seem like fun is far from harmless. And then there are the many ways of learning in the mode of play.

Abstract: Transformation of Marketing Complex of IT-Companies in the Digital Age -- Hierarchical cybernetic model of oil production enterprise with distributed decision-making centers -- Digital modelling of the system of knowledge exchange and building within a network of industrial enterprises.

Abstract: This book offers the latest research on organizational management, knowledge management, organizational functioning, organizational digitalization, and other issues of modern company development. The book proposes to look at the pool of these problems through the prism of building various models for implementing digital transformation of business and processes. This book is intended for both young and experienced scientists who want to get acquainted with latest trends and data to use them in their research.

Abstract: Evaluation of metaverse tools based on privacy model using fuzzy MCDM approach -- Exploring research trends of metaverse: A bibliometric analysis -- Inducing Virtual Reality to improve Human-virtual social interaction and Learning Perceptions -- Visualization Creativity through shadowing Practices using Virtual Reality in designing digital stories Language Classroom -- Metaverse Applications and Its Use in Education -- Investigating behavior of using Metaverse by integrating UTAUT2 and self-efficacy -- Understating the Social Sustainability of Metaverse by Integrating Adoption Properties with Users’ Satisfaction -- The future of Metaverse in improving the quality of higher education: Systematic Reviews -- Integrating Ideal Characteristics of Chat-GPT Mechanisms into the Metaverse: Knowledge, Transparency, and Ethics -- Use of Earnings Quality Measures to Evaluate Performance of Iraqi Banks in Terms of Industry 5.0: Using the Hierarchical Analysis Process -- The moderating role of big data analytics capabilities in the relationship between supply chain management practices and sustainable performance: A conceptual framework from a metaverse perspective -- Using Artificial Intelligence and Metaverse Techniques to Reduce Earning Management -- The metaverse and the role of accounting culture: Reporting of digital assets according to international standards -- The Effect of Digital Business Strategy on Improving Customer Journey: Evidence from Users of Virtual Reality Platforms -- The Effect of Financial Readiness on Earnings Retention in Terms of Virtual Technologies: Evidence from UAE Companies.

Abstract: This book addresses recent research trends concerning the role of the Metaverse in advancing the education and finance sectors from various perspectives. These trends are explored through multiple case studies employing diverse analytical approaches. The chapters aim to aid scholars and postgraduate students in pursuing future research in this domain and identifying potential developments in Metaverse applications.

Abstract: 1. Virtual & Remote Laboratories -- 2. Virtual, Augmented and Mixed Reality -- 3. Industry 4.0 -- 4. Artificial Intelligence -- 5. Applications & Experiences -- 6. Blockchain Applications in Education -- 7. Education & Training for Automation 4.0 -- 8. Fostering Engineering Education from 4.0 to 5.0 -- 9. The Impact of Renewable Energy on Climate Change -- 10. Vocational Education and Training.

Abstract: The REV Conference is the annual conference of the International Association of Online Engineering (IAOE) together with the Global Online Laboratory Consortium (GOLC). REV 2023 is the 20th in a series of annual events concerning the area of online engineering, cyber-physical systems and Internet of things, including remote engineering and virtual instrumentation. 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, including: Cross-reality Open Science Internet of Things and Industrial Internet of Things Industry 4.0 Cyber-security M2M and smart objects.

Abstract: Part I: Games of Life -- Games of Existence: The Digital Transformation of Fictionality -- A Semiverse of Games -- The Game in the Context of Social Dramaturgy -- Culture and Life as Gameplay Experiences: Theological point of view -- The Social Function of Toy Models in Games of Science -- Constitutive Rules of Artificial Games and Natural Conventions of Ordinary Behavior -- Psychological Portrait of a Modern Young Gambler -- Identity strategies in the space of massively multiplayer online role-playing games (MMORPG) -- Beginning of the Gaming Era, Parental Controls and Technical Acumen -- Modern Initiation Practices: Gaming Technologies Application -- The Recursive Paradigm And Semiotic Models Of Games in Third-order Technical Cybernetics -- Liability In The World Of Games: The Interaction Of Positive And Soft Law -- Part II: Cities and Societies, Organization and Cooperation -- Communications Using Gamification For The Implementation Of Urban Projects -- The Best City Left": City 17 in The Half Life 2 Game Universe and The Transformation of The City Image of The Future" -- Issues of city management in the context of game theory -- Possibilities for Applications of Game Theory in Relation to Land Use -- Play and Labour - Some Conceptual Remarks on Gamification in the Context of Manual Work -- Gamification in the Personnel Management of a Self-Learning Organization -- Gamification in Industry: Simulation-Game Modeling of Production Processes -- Improving Gamification Technology in Corporate Training in the Legal Industry -- The Role Of Gamification In Human Resources Brand Development -- Part III: Edutainment and Gamification -- Compatibility of Edutainment and Traditional Methods in the University’s Educational Environment -- The Immersive Approach and Gamification: New Forms of Educational Technologies through Games -- Edutainment as a New Educational Technology: A Comparative Analysis -- Gamification in Education: A Literature Review -- The Role of Game Practices in the Model University of the Future -- The Role of Game-Based Assessment for the Enhancement of Learning -- Game-based Assessment of 21st Century Skills: Communication And Creative Thinking in Foreign Language Education -- Gamification Techniques in Massive Open Online Courses: Challenges and Opportunities -- Improving Speaking And Listening Skills: An Educational Eco-system for Foreign Languages Teaching In Higher Education -- Digital Game-based Language Teaching in Russian University Settings: Beliefs and Constraints -- Teaching Gamification in a Virtual Learning Environment.

Abstract: This book reflects the various dimensions of play. It gathers together experience with role-play, tabletop, and online games and develops and assesses tools. It also reflects the human condition in this world of games as it becomes a digital world. We are living in a World of Games where every game is a world through which we learn about the world. A World of Games is fun and engaging, but it also provides deceptive pleasures. What may seem like fun is far from harmless. And then there are the many ways of learning in the mode of play. .

Abstract: Analysis of the Quality of Preparation of Undergraduates of the Electric Power Profile under the Conditions of Transformation of the Modern Labour Market -- Transversal Competencies: Employment of University Graduates -- Digital Competences in the Nomenclature of Professionally Important Qualities of Members of Student Labor Teams -- MOOC Market in Russia: Trends and Tendencies in the Era of Digital Learning Environment in Higher Education -- Smart Work and Lifelong Learning for Workers' Employability´ -- The Impact of Digitalization on Job Requirements and Career Prospects of Specialists Providing Public Social Services.

Abstract: This book offers the latest research on formation of modern workers in the context of digitalization: from constant improvement of new training technologies to growing requirements for employees in workplace, as well as an assessment of specialists' digital skills and dynamics of changes over the past years. The book proposes to look at the pool of these problems through the prism of acquisition of new digital competencies and requirements for a modern worker. This book is intended for both young and experienced scientists who want to get acquainted with latest trends and data to use them in their research.

Abstract: Monitoring Sleep-Related Disorders Via Artificial Intelligence Methods -- The Present and Future Role of Artificial Intelligence in the Promotion of Sustainable Practices in the Construction Sector -- Honeywell Experion Hive As Breakthrough Approach In Control Systems Evolution -- Pathfinding with Dynamic Obstacles -- Application of Digital Twin technology for live Process Control System of industrial facility -- Level of Automation Assessment for Controlled-Environment Hydroponic Agriculture via Fuzzy MCDM Method -- Navigating the Ethics of the Metaverse: A Fuzzy Logic Approach to Decision-Making -- Investigation the activity of medical institutions for hospital care in Bulgaria with the InterCriteria Analysis Method -- On a Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classification -- Assessment of Cancer Detection from CT scan images using Hybrid Supervised Learning methods -- Unlocking Insights into Mental Health and Productivity in the Tech Industry through KDD and Data Visualization -- Prioritization of User Strategies for mHealthcare App Selection -- Fuzzy Numbers and Analysis of Radiological Images -- Analyzing and Responding to Google Maps Reviews with a Chatbot in Healthcare -- A Novel Decision-Making Framework Based on Interval-valued Pythagorean Fuzzy AHP & CODAS: An Application to Healthcare Supplier Selection.

Abstract: This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

Abstract: Opinion Mining on Paul W. S. Anderson’s Monster Hunter from Chinese Social Media Using Sentiment Analysis -- Kevin Kwan’s Crazy Rich Asians: Opinion Mining and Emotion Detection on Fans' Comments on Social Media -- Voltage Profile Improvement and Active Power Loss Reduction Through Network Reconfiguration Using Dingo Optimizer -- Machine Learning and Marketing Campaign: Innovative Approaches and Creative Techniques for Increasing Efficiency and Profit -- A Bottom-up 2-Stage Approach for Constructing Arabic Knowledge Graph -- Augmented Reality as a Learning Media to Improve Vocabulary Learning Among Preschoolers -- Towards the Prediction of Students’ Performance Using Educators’ Domain Knowledge -- Learners’ Performance Evaluation Using Genetic Algorithms -- Tomato Plant Leaf Disease Identification and Classification Using Deep Learning -- Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes -- Intelligent Chatbots for Electronic Commerce: A Customer Perspective -- A Hybrid Sentiment based SVM with Metaheuristic Algorithms for Cryptocurrency Forecasting -- A Comparison Study of Machine Learning Algorithms for Credit Risk Prediction -- Forecasting Tourist Arrivals using a Combination of Long Short-Term Memory and Fourier Series -- Age and Gender Classification from Retinal Fundus Using Deep Learning -- Heart Disease Prediction Using a group of Machine and Deep Learning Algorithms -- Tweet Recommendation System Based on TA Algorithm and Natural Language Processing -- Deep Learning Based for Cryptocurrency Assistive System.

Abstract: This book presents the papers included in the proceedings of the 3rd International Conference of Advanced Computing and Informatics (ICACin’22) that was held in Casablanca, Morocco, on October 15–16, 2022. A total of 98 papers were submitted to the conference, but only 60 papers were accepted and published in this book with an acceptance rate of 61%. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT) and smart cities, information security, cloud computing and networking, and computational informatics.

Abstract: Relationship between DEA models without explicit inputs and DEA-R models -- Finding efficient surfaces in DEA-R models -- Cost and revenue efficiency in DEA-R models -- A Novel Slack-Based Model for Efficiency and Super-efficiency in DEA-R -- A Multi-Criteria Ratio-Based Approach for Two-Stage Data Envelopment Analysis -- A novel network DEA-R model for evaluating hospital services supply chain performance -- A novel inverse DEA-R model for inputs/output estimation -- Evaluation of Two-Stage Networks based on Average Efficiency Using DEA and DEA-R with Fuzzy Data -- Stochastic network DEA-R models for two-stage systems.

Abstract: The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.

Abstract: A Comprehensive Review On Cloud Security Using Machine Learning Techniques -- Energy Enhanced Routing Protocol for Heterogeneous Networks using Artificial Intelligence -- Integration of Machine Learning with Cybersecurity: Applications and Challenges -- Deep Learning Approach for Detection of Fraudulent Credit Card Transactions.

Abstract: This book highlights the applications and theory of artificial intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity. .

Abstract: 1.Introduction -- 2.Literature review -- 3.Recommending reviewers and experts -- 4.Supporting innovativeness and information sharing -- 5.Selected algorithmic developments -- 6.Knowledge recommendation in practice -- 7.Conclusions.

Abstract: Knowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively. This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully. The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge. This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.

Abstract: This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare. The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

Abstract: Brain-Computer Interfaces: High-Tech Race to Merge Minds and Machines -- Using Artificial Neural Networks to Predict Critical Displacement and Stress Values in The Proximal Femur for Distinct Geometries and Load Cases -- An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human-Robot Interaction -- Computational Intelligence Methods for User Matching -- ATIAS: A Model for Understanding Intentions to Use AI Technology -- Electronics Engineering Perspectives on Computer Vision Applications: An Overview of Techniques, Sub Areas, Advancements and Future Challenges -- Feature Importance Study for Biogas Production from POME Treatment Plants Using Out-Of-Bag Permutation -- Convolutional Neural Networks for Part Orientation in Additive Manufacturing -- SINATRA: A Music Genre Classifier based on Clustering and Graph Analysis -- Towards an Enhanced and Lightweight Face Authentication System -- Conceptual Intelligence, Digital Transformation, and Leadership Skills: Key Concepts for Modern Business Success -- GEMM-SAFIN (FRIE)++: Explainable Artificial Intelligence Visualization System with Episodic Memory -- Traffic Sign Recognition Robustness in Autonomous Vehicles Under Physical Adversarial Attacks -- CI in Smart Cities and Smart Energy Systems -- Ontology-based Similarity Estimates for Fuzzy Data: Semantic Wiki Approach.

Abstract: The book delivers an excellent professional development resource for educators and practitioners on the cutting-edge computational intelligence techniques and applications. It covers many areas and topics of computational intelligence techniques and applications proposed by computational intelligence experts and researchers and furthers the enhancement of the community outreach and engagement component of computational intelligence techniques and applications. Furthermore, it presents a rich collection of manuscripts in highly regarded computational intelligence techniques and applications topics that have been creatively compiled. Computers are capable of learning from data and observations and providing solutions to real-life complex problems, following the same reasoning approach of human experts in various fields. This book endows a rich collection of applications in widespread areas. Among the areas addressed in this book are Computational Intelligence Principles and Techniques; CI in Manufacturing, Engineering, and Industry; CI in Recognition and Processing; CI in Robotics and Automation; CI in Communications and Networking; CI in Traditional Vehicles, Electric Vehicles, and Autonomous Vehicles; CI in Smart Cities and Smart Energy Systems; and CI in Finance, Business, Economics, and Education. These areas span many topics including repetitive manufacturing, discrete manufacturing, process manufacturing, electronic systems, speech recognition, pattern recognition, signal processing, image processing, industrial monitoring, vision systems for automation and robotics, cooperative and network robotics, perception, planning, control, urban traffic networks control, vehicle-to-roadside communications, smart buildings, smart urbanism, smart infrastructure, smart connected communities, smart energy, security, arts, and music.

Abstract: In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.

Abstract: Chapter 1: Introduction -- Chapter 2: Textures -- Chapter 3: Brown’s Representation Theorem -- Chapter 4: Direlations -- Chapter 5: Rough Sets -- Chapter 6: Basic Results in Rough Set Theory via Textures.

Abstract: This book provides a complete framework for the fundamental concepts and results of texture spaces and its applications. The principal aim is to present a comprehensive arguments due to connections among the textures, fuzzy sets and rough sets. In this context, direlations, fuzzy direlations and fuzzy relations constitute a bridge for the remarkable observations on rough set theory. In a more general setting, the approximation operators are also inspected for fuzzy rough set models with two domains of discourse. Since the book is self-contained and reader-friendly, the respected researchers may utilize this source for further investigations of the necessary results for their studies on rough set theory using textures. Therefore, prospective readers are not only mathematicians who interest in purely mathematical theories related to textures, but also engineers of information sciences who need more information for their interdisciplinary studies with respect to rough sets and fuzzy sets.