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This two-volume set CCIS 2264 and CCIS 2265 constitutes the refereed proceedings of the 6th International Conference on Blockchain and Trustworthy Systems, BlockSys 2024, held in Hangzhou, China, during July 12–14, 2024. The 34 full papers presented in these two volumes were carefully reviewed and selected from 74 submissions. The papers are organized in the following topical sections: Part I: Blockchain and Data Mining; Data Security and Anomaly Detection; Blockchain Performance Optimization. Part II: Frontier Technology Integration; Trustworthy System and Cryptocurrencies; Blockchain Applications.

This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1–2, 2024. The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections: Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT). Part II: data science and data analytics; communication, network and security.

'Blockchain's Transformative Potential of Financial Technology for Sustainable Futures'delves into the groundbreaking impact of blockchain technology on the financial sector, highlighting its potential to foster sustainable development. This comprehensive volume brings together a diverse array of experts who explore how blockchain can revolutionize financial technology (FinTech) by enhancing transparency, efficiency, and inclusivity. The book examines blockchain's role in promoting financial inclusion, providing secure and accessible financial services to underserved populations. By bridging gaps in the current financial system, blockchain empowers individuals and communities, driving economic growth and resilience. Additionally, it addresses the environmental benefits of blockchain, showcasing innovative solutions like decentralized energy markets and transparent supply chains that contribute to sustainability. Readers will gain insights into real-world applications of blockchain, supported by case studies and in-depth analyses. The book also navigates the complex regulatory and ethical landscape, offering guidance on harnessing blockchain's potential responsibly.'Blockchain's Transformative Potential of Financial Technology for Sustainable Futures'is an essential resource for professionals, researchers, and policymakers interested in the future of FinTech and sustainable development. It serves as a catalyst for further research, dialogue, and collaboration, inspiring a new era of financial innovation and sustainability.

This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27–29, 2024. The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering.

This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8 – 9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.

This book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18–24, 2024. The 23 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 76 submissions. They are organized in the following topical sections: coordination and cooperation; market approaches; logics; learning; agent-based modelling and simulation; computational social choice.

This book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows: One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings.This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.

This book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held in London, on February 19–22, 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The work is presented in ten volumes.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series.

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.

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.

This book presents high-quality research in the field of 3D imaging technology. The fifth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first four editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends such as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images, and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

This book examines the balancing problems in the governance of artificial intelligence (AI). AI is transforming the world at an unprecedented pace, which is revolutionary and presents significant challenges. Nevertheless, AI's complex balance dilemma necessitates careful governance as it transforms businesses, economies, and society. Fundamental issues discussed in this book include the complexities of AI's dual nature, the challenges of aligning memorizing with thinking, and the trade-offs between opportunity seeking and risk aversion. This book explores the complex interplay between AI security and transparency, the technical decision between CPUs and GPUs, and the expanding potential of quantum computing. Nevertheless, the challenge of maintaining balance is not resolved by technological advancements. It encompasses the global arena, where the forces of globalization and localization must be reconciled, and the governance sphere, where self-regulation must coexist with government control. Comprising cutting-edge research, real-world examples, and futuristic perspectives, this book guides researchers, practitioners, politicians, entrepreneurs, and leaders in navigating AI's future. The reader will learn how to capitalize on the potential of AI while avoiding its weaknesses, ensuring that this disruptive technology benefits society.

Sustainable agricultural systems are crucial for ensuring food security, conserving natural resources and mitigating climate change. Innovations in this field play a crucial role in improving agricultural practices to make them more environmentally friendly, economically viable and socially responsible. By implementing the innovative approaches and technologies, sustainable agricultural systems can help address the challenges facing agriculture in the 21st century and build a more resilient and sustainable food system for the future. This multidisciplinary book focuses on the best practices in a range of areas, such as: I. Intelligent agricultural techniques, tools and systems; II. Sustainability in veterinary practice; III. Economic, ecological and social systems for human development; IV. Sustainable development of agricultural production. This book is a truly interdisciplinary publication, useful to scholars, social movements, practitioners and members of governmental agencies and private companies.

This book presents volume 2 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA'24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice.

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.

This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI') and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI.As thedebate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.

According to Serpa (in MDPI encyclopedia) [3], Society 5.0 can be realized as a concept and a guide for social development, with a profound impact on current societal structures in multiple levels. Society 5.0 achieves advanced convergence between cyberspace and physical space, enabling AI-based on big data and robots to perform or support as an agent the work and adjustments that humans have done up to now. Deguchi et al., [4] define Society 5.0 as a highly intelligent society based on generation, processing, exchange of data, and more specifically knowledge, through the connection of the physical environment with the cyberspace. Achieving Society 5.0 with these attributes would enable the world to realize economic development while solving key social problems. It would additionally contribute to achieving the SDGs established by the United Nations. Despite the differences in formulation of the names of these periods and societies, it is obvious that each of them became a basis for step like growth in developed society; at, specific time periods, scale, character and depth of these changes are different in different countries. Consequently, to address the aims of the book, it seeks exploratory, empirical, interpretive, and theoretical research built on either primary or secondary data. The approaches suggested are not exhaustive and can be extended upon by the researchers. In addition, the book will contribute towards the UN's sustainable development goals. In support of UN's efforts towards a more digital economy, this book aims to debate and discuss the history, genesis, future, opportunities, and challenges of transitioning to Society 5.0. and provides a holistic perspective on a variety of topics special topics which contribute towards the optimal attainment of the SDGs, particularly in terms of socialdimensions. Finally, this book provides a platform for researchers, academics, and professionals to the transition and technological enablers of industrial revolutions through empirical or exploratory studies that use a variety of innovative approaches. The target audience of the book includes researchers and scholars who will find in its comprehensive knowledge about industry 4, industry 5, society 5 and its contribution to economic growth and sustainable development goals (SDGs). Furthermore, the book's secondary target audience are teachers, managers, strategists, professionals, governments, and policymakers.

In an age marked by swift technological advancements, businesses find themselves amid unparalleled challenges and opportunities.'Future Business: Anticipating Technological Trends'aims to deliver a comprehensive exploration of the dynamic technological landscape and its profound impact on the business world. This groundbreaking book intends to serve as an invaluable guide for entrepreneurs, business leaders, and innovators, providing them with the tools to anticipate and harness emerging technological trends for a competitive edge in the global market. This book represents a pioneering exploration at the confluence of technology and business evolution. In a time where everything is turning digital, the book strives to empower business leaders, entrepreneurs, and professionals with the knowledge and insights essential for navigating the ever-shifting terrain of technology and its influence on the future of business. This book sets the tone by emphasizing the critical role of technology in shaping the future of business. It will highlight the rapid pace of technological advancements and their far-reaching implications, setting the stage for a deep dive into the key trends that will define the future of business.'Future Business: Anticipating Technological Trends'promises to be an indispensable guide for those seeking to stay ahead in the competitive world of business. By providing actionable insights and strategic foresight, this book aims to empower readers to harness the full potential of emerging technologies for sustainable business success.

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.

The two-volume LNCS set 14813 and 14814 constitutes the refereed proceedings of the 24th International Conference on Computational Science and Its Applications, ICCSA 2024, held in Hanoi, Vietnam, during July 1–4, 2024. The 53 full papers, 6 short papers and 3 PHD showcase papers included in these volumes were carefully reviewed and selected from a total of 207 submissions. The papers focus on the following six sub-areas within Computer Science and its Applications: Computational Methods, Algorithms and Scientific Applications; High Performance Computing and Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications; Information Systems and Technologies & Urban and Regional Planning.

The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.

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.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2023), which took place as a hybrid event on October 19 – 21, 2023, in/from Riga, Latvia. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the digitalization of transport systems, as well as smart, artificial intelligence, and digital twins applications.

The two-volume set, LNAI 15246 and 15247, constitutes the proceedings of the 23rd Mexican International Conference on Artificial Intelligence, MICAI 2024, held in Tonantzintla, Mexico in October 21–25, 2024. The 37 full papers presented in these proceedings were carefully reviewed and selected from 141 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I - Machine Learning; Computer Vision. Part II - Intelligent Systems; Bioinformatics and Medical Applications; Natural Language Processing.

This book emphasizes on the relevant methodologies that encompass modelling, design approaches, and control of mechatronic systems. In addition, state-of-the-art technologies like artificial intelligence, machine learning, and computational intelligence in mechatronics are explored in this book, illustrating various examples, recent advancements, and case studies from real-world implementations. This book further investigates and unleashes the power of the Internet of Things (IoT), showcasing how it transforms today's rapidly changing industries by impeccably integrating smart devices and creating interconnected systems. This book serves as a reference tool for students, academics, practitioners, researchers, and industrial leaders in the respective fields.

This book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field. By providing computational finance and business analytics, organizations can secure a competitive advantage in today's data-driven and cutting-edge business landscape. This book explores the most recent innovations and significant developments in both the domains of computational finance and business analytics, offering a thorough overview of the current landscape. It encompasses various dimensions including: Business Analytics Financial Analytics HR & Marketing Analytics By integrating the latest theoretical insights with practical applications, this book equips researchers, practitioners, and students with the knowledge and tools necessary to explore and progress in the ever-changing realm of computational finance and business analytics. As the present organizations confront the challenges and adapt the opportunities presented by the data revolution, this book serves as an essential guide, illuminating the transformative frontiers where computational finance and business analytics are redefining the realm of possibilities.

This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.

In a world of unprecedented challenges and opportunities, Fintech stands as a pivotal force, at the crossroads of technology, finance, and sustainability. This book invites readers to the forefront of a revolutionary convergence, where economic growth and environmental stewardship align. Whether the reader is a decision-maker, innovator, entrepreneur, or investor within the Fintech industry, this is a guide to a future where finance and technology serve our planet. Authored by experts in GIS, AI, and remote sensing, who are also seasoned entrepreneurs, this unique work offers both theory and practical guidance, discovers sources often overlooked in ESG analytics, dives into specific, not general, KPIs for industry professionals, and navigates global regulations and frameworks with ease. Real-world case studies unveil the value of applied methods, supported by insights from leading practitioners, explore the latest developments in AI and machine learning, and uncover a step-by-step data science analysis framework.

This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22–23, 2024. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain–machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human–computer interaction, intelligent sensor, devices and applications, and intelligent database systems.

This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.

This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London, UK, during May 29–June 2, 2023. The 11 regular papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in subject areas as follows: MABS methodology and tools; MABS and social behavior; and MABS applications.

This book is a comprehensive guide to understanding the potential of artificial intelligence (AI) in improving business functions, as well as the limitations and challenges that come with its implementation. In this book, readers will learn about the various opportunities that AI presents in business, including how it can automate routine tasks, reduce errors, and increase efficiency. The book covers a range of topics, including how AI can be used in financial reporting, auditing, fraud detection, and tax preparation. However, the book also explores the limitations of AI in business, such as the need for skilled professionals, data quality, and the potential for bias. It examines the challenges that companies face when implementing AI in business functions, including the need for ethical considerations, transparency, and accountability. The book is written for business professionals, business leaders, and anyone interested in the potential of AI in business functions. It offers practical advice on how to implement AI effectively and provides insights into the latest developments in AI technology. Through case studies and real-world examples, readers will gain a deeper understanding of how AI can be used to enhance business functions, as well as the potential pitfalls and limitations to be aware of. Overall,'AI in Business: Opportunities and Limitations'is an essential guide for anyone looking to harness the power of AI to improve their business functions, and to stay ahead in an increasingly competitive business environment.

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.

The advent of artificial intelligence (AI) is associated with relevant changes in how we live today. AI has the potential to significantly enhance daily decision-making by providing tailored, data-dependent insights and aiding in intricate analysis. AI-based systems will be around us, helping and advising us in our everyday tasks. However, how well do these systems perform in their quest to'replace'the human brain? A'meter,'a procedure for comparing the outcomes obtained by artificial intelligence systems with those obtained by human systems, is necessary to address this issue. This'meter'is Mind Genomics, a new emerging science that delves into the science of how we, as humans, organize and respond to information. To evaluate whether there are differences in the results obtained by AI-based systems and human-based experiments based on'Outer Psychophysics'were designed and implemented. Thus, four experiments in crucial areas of our lives are selected and cover education, family stress, and environmental and governmental policies. For each area, a Mind Genomic experiment is designed, defining four topics (silos). Then, the elements contained in each of the silos were generated twice, once by humans and then by an AI-based system. Evaluating both systems'performance requires comparing the results obtained by both experiments. The analysis of the study cases is disciplined, rich in scientific tools, and presented with methods. Through a blend of theoretical exploration, case studies, and practical applications, this book aims to inspire readers with the potential of the fusion of Mind Genomics and AI to empower innovation, enhance user experiences, and bring forth a more nuanced understanding of human thought. Whether the reader is a student, a researcher in the field of social and political sciences, or simply curious about the evolving landscape of science and technology, we hope this book will serve as an invitation to explore how we can harmonize human and machine intelligence to better navigate the complex world around us.

This book gathers selected papers presented at the 8th International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), held on June 14–15, 2024, at Sree Sakthi Engineering College, Coimbatore, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

This book aims to explore the intersection of AI, technology education, and computer science with sustainable business practices. It delves into the application of cutting-edge technologies such as artificial intelligence, machine learning, and blockchain in various business domains, including healthcare, education, government services, and digital transformation.

This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. The convergence of AI, ML, and IoT has revolutionized various industries, and business management and finance are no exceptions. This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. It equips both academics and industry professionals with the knowledge and tools necessary to navigate the changing landscape and effectively harness these technologies to gain a competitive edge. This book delves into the transformative potential of these technologies and provides valuable insights into their application in decision-making, risk management, financial analysis, and strategic planning. It offers a holistic perspective on how organizations can leverage AI, ML, and IoT to drive innovation, enhance operational efficiency, and achieve sustainable growth in the digital age.

This three-volume set CCIS 2213-2215 constitutes the refereed proceedings of the 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, held in Macau, China, during September 27–30, 2024. The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions. The papers are organized in the following topical sections: Part I: Novel methods or tools used in big data and its applications; applications of data science. Part II: Education research, methods and materials for data science and engine; data security and privacy; big data mining and knowledge management. Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis.

This book contains outstanding research papers as the proceedings of the 3rd International Conference on Intelligent Vision and Computing (ICIVC 2023). ICIVC 2023 has been organized by National Institute of Technology Agartala, India under the technical sponsorship of the Soft Computing Research Society, India. It was held on November 25-26, 2023 at National Institute of Technology Agartala, India. The conference was conceived as a platform for disseminating and exchanging ideas, concepts, and results of the researchers from academia and industry to develop a comprehensive understanding of the challenges of the advancements of intelligence in computational viewpoints. This book will help in strengthening congenial networking between academia and industry. The conference focused on collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, signal and natural language processing.

This book constitutes the refereed proceedings of the 6th IFIP TC 12 International Conference on Intelligence Science, ICIS 2024, held in Nanjing, China, in October 25-28, 2024. The 23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections: Machine Learning; Causal Reasoning; Large Language Model; Intelligent Robot; Perceptual Intelligence; AI for Science; Medical Artificial Intelligence.

This book highlights a collection of state-of-the-art research on Safe Artificial General Intelligence (AGI), highlighting the crucial role of cybersecurity, smart applications, and sustainable technologies in ensuring a secure AI future. It illustrates the latest trends in AI safety, exploring the potential risks and dangers associated with AGI development and ways to prevent unintended consequences. The book discusses the convergence of various fields, such as AI, cybersecurity, smart applications, and sustainable technologies, by providing an overview of theoretical, practical, and simulation concepts of AGI. It also displays solutions that will help mitigate the risks and ensure the responsible and ethical development of AGI. It provides insights and perspectives from experts in these fields and offers a comprehensive guide to understanding the challenges and opportunities associated with the development of safe and secure AGI. The book includes chapters on various topics related to AGI security, including the ethical and legal aspects of AGI development, the role of explainability in ensuring transparency and accountability, the use of machine learning for intrusion detection and prevention, and the application of smart technologies for securing AGI systems. Additionally, it explores the impact of sustainable technologies on AGI security, such as the use of renewable energy sources to power AGI systems and the development of eco-friendly hardware. This book is a valuable source for researchers, students, and practitioners interested in the fields of artificial general intelligence, cybersecurity, smart applications, and sustainable technologies.

This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.

This book deals with behavioral responses of management of firms that make several decisions with respect to production, marketing, finance, organization of activities within divisions, and interrelations between divisions (including synergies between them and constraints placed on each other in the attainment of overall goals of the firm). The market conditions, that constitute the basis of such decisions, may be stable, random but predictable, or uncertain. It can be expected that objectives attained by the firm, as a result of decisions of management, may be different from the maximum which can be achieved. A generic conceptualization of such managerial discretion and operationally useful methods of measurement have been presented. It is possible to develop machine learning algorithms on this basis to minimize managerial discretion and assist managers in arriving at strategic decisions thereby leaving more resources to deal with uncertain events as they arise. The volume is a great resource not only for researchers, but also decision makers in corporates.

This book is a collection of a wide range of research papers that combine both the humanities and sciences in applied informatics. In particular, it is intended for readers interested in the fields of artificial intelligence, data science, virtual reality, and intelligent systems.Technologies and findings in artificial intelligence, data science, virtual reality, and intelligent systems are being used in all academic disciplines today. This book is a compilation of specific and advanced research findings from a wide range of research fields where they are being applied today. The papers included are based on those presented in August 2022 at the International Conference on Systems Engineering (ICSEng-Tokyo), a prestigious academic conference that has been held annually since 1974. The papers have been rigorously reviewed and selected by multiple peer reviewers.

This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even'rational'decision-making) and therefore improving the quality of life of the end users.

The book contains proceedings of the XV International Scientific Conference INTERAGROMASH 2022, Rostov-on-Don, Russia. This conference is dedicated to the innovations in the field of precision agriculture, robotics and machines, as well as agriculture biotechnologies and soil management. It is a collection of original and fundamental research in such areas as follows: unmanned aerial systems, satellite-based applications, proximal and remote sensing of soil and crop, positioning systems, geostatistics, mapping and spatial data analysis, robotics, and automation. Potential and prospects for the use of hydrogen in agriculture, for example, in high-performance tractors with hybrid electric transmission, are disclosed in the research works of scientists from all over the world. It also includes such topics as precision horticulture, precision crop protection, differential harvest, precision livestock farming, controlling environment in animal husbandry, and other topics. One of the important issues raised in the book is to ensure the autonomy of local farms. The topic of the impact of the agro-industrial sector on the environment also received wide coverage. Ways to reduce the burden on the environment are proposed, and the use of alternative fuels and fertilizers is suggested. The research results presented in this book cover the experience and the latest studies on the sustainable functioning of agribusiness in several climatic zones. The tundra and taiga, forest-steppe, the steppe and semi-desert—all this is a unique and incredibly demanded bank of information, the main value of which is the real experience of the functioning of agribusiness in difficult climatic and geographic conditions. These materials are of interest for professionals and practitioners, for researchers, scholars, and producers. They are used in the educational process at specific agricultural universities or during vocational training at enterprises andalso become an indispensable helper to farm managers in making the best agronomic decisions.