Search

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 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 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 is dedicated to the 120th anniversary of economic education at Peter the Great St. Petersburg Polytechnic University (SPbPU). It gathers the best and most recent research materials of scientists from SPbPU's Institute of Industrial Management, Economics and Trade and their colleagues from other universities.This book reflects many years of experience, unique results and interesting discoveries made by collaborative teams exploring the following issues: engineering economics, sustainable development and other topics related to the digitalization of enterprises, industries and systems; digital transformation of the service market in the face of global challenges; automation of enterprise control systems, digital and data management solutions for business; socio-economic development and territorial management in the era of Industry 4.0, etc. This book offers various views on challenges faced by today's economy and industry that are undoubtedly relevant to readers of almost all categories: from students to practitioners and scientists, but mostly for researchers.

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 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 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, 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.

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.

The book aims to describe how a certain type of organisation may come into existence and may even become prevalent in society - what we call a negative organisation. This type of organization is one where the status quo prevails over what is best for the company, in strategic terms. Namely, certain employees who are actually very good may be forced to leave so as to not disturb the status quo and existing loyalties and ties which are actually prejudicial to the company, in the medium to long run. Change is very necessary and strategies need to change to accompany technological breakthroughs and other market developments. Wanting to maintain the same course so as not to “disrupt the waters” is often a bad strategy and the firm will suffer. Innovation must prevail over the maintenance of the status quo or, in other words, must prevail over the maintenance of the existing state of things and hierarchy. Our book discusses the topic as well as providing solutions for the situation of a firm becoming negative. Various levels of leadership in the organisation may contribute to a negative organisation and this too is discussed. We hope to have contributed in whatever small way to a more joyous, satisfactory and, above all, more productive and innovative workplace.

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 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 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.

In an era defined by technological breakthroughs such as AI, blockchain, and IoT, this book offers a fresh and practical approach to Business Model Innovation (BMI). It delves into how technological advancements drive new business models and enhance operational efficiency, providing actionable insights and real-world examples for business leaders, strategists, operations managers, entrepreneurs, and students in business and technology disciplines. Encouraging diverse research methods, including theoretical, empirical, and multimethod studies, it welcomes manuscripts with clear managerial or policy implications. Aimed at students, scholars, researchers, professionals, executives, government agencies, and policymakers, this book equips readers with tools to succeed in today's dynamic business environment and supports multidisciplinary research to advance innovation management practices.

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 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 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 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 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.

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 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.

In an era defined by technological breakthroughs such as AI, blockchain, and IoT, this book offers a fresh and practical approach to Business Model Innovation (BMI). It delves into how technological advancements drive new business models and enhance operational efficiency, providing actionable insights and real-world examples for business leaders, strategists, operations managers, entrepreneurs, and students in business and technology disciplines. Encouraging diverse research methods, including theoretical, empirical, and multimethod studies, it welcomes manuscripts with clear managerial or policy implications. Aimed at students, scholars, researchers, professionals, executives, government agencies, and policymakers, this book equips readers with tools to succeed in today's dynamic business environment and supports multidisciplinary research to advance innovation management practices.

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.

'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 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.

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.

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 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 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 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.

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 edited book considers social systems as self-organizing structures that reproduce new structural elements endowed with certain functional connections. The authors analyze innovative processes in social systems, leading to the sustainable convergence of knowledge and the emergence of technologies that improve the level of material well-being in society. The book summarizes research results in the field of digitalization and reveals deep connections with social problems. In addition, the book presents a whole array of innovative research on social systems management and the application of knowledge and intelligence to the solution of social problems. The contributing scholars and practitioners reflect on various types of social systems and assess the influence of disruptive factors from natural and coupled human-natural environments, discussing possible mechanisms for their neutralization. Sustainable development of social systems is among the most important tasks facingthe contemporary world. The contributed book highlights challenges to the sustainability of social systems, draws sociotechnical images of the future world order generated by the rapid development of intellectual technologies, and critically analyzes promising concepts for more sustainable social future. Among the discussed topics in the book are social governance, digital economy, technological landscapes, social systems modeling and simulation, cyber-social systems, knowledge-based innovation systems, complex processes in social systems, institutional arrangements, and other advancing research areas. The high-quality and original studies presented in the book appeal to those interested in broadening their perspectives on complexity science, complex social systems research, complex systems management, advanced technological development in social systems, etc. Since the book is rich with well-thought theories, advanced research approaches, and interdisciplinary research results, it becomes a great source of new ideas and insights on complex social systems.

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

This book contributes to the theoretical discussions of equilibria that rest on error―in which we include mistaken choices of games to play. Extant game theory recommends diverse strategies (plans of actions) for various given games, particularly those in Nash equilibria, in which no player benefits from one-sided strategy alteration. The literature also refers to the design of games that fit given goals. This is the mechanism design theory; its function is to serve social planners ignorant of the preferences of the people intended to play them.Our study of games avoidance adds to game theory the meta-game of choosing what game to play and what game to avoid playing, and that both players and planners can generate. This comprises a shift from the maximalist position that aims to maximize possible profit to the minimalist one that aims at minimizing possible loss. This shift depends on the question, considering the public interest, what set of games is it advisable to encourage? Obviously, it is advisable to encourage playing some groups of games such as trade, as well as to discourage playing other groups of games such as wars. This shift makes the theory much more applicable to social science: usually, choosing what game to play is less practical than choosing what game not to play. This invites legislation and similar incentives; their study should aim at the improvement of their usefulness.Discussing the possibility of changing both game and strategy renders game theory part-and-parcel of social science. For this mathematical models will not do: it requires a clear distinction between describing options and explaining situations. Explanations may enhance efforts at improvement.

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.

Recent Advancements of Computational Finance and Business Analytics provide a comprehensive overview of the cutting-edge advancements in this dynamic field. By embracing computational finance and business analytics, organizations can gain a competitive edge in an increasingly data-driven and complex business environment.This book has explored the latest developments and breakthroughs in this rapidly evolving domain, providing a comprehensive overview of the current state of computational finance and business analytics. It covers the following dimensions of this domains:Business AnalyticsFinancial AnalyticsHuman Resource AnalyticsMarketing Analytics

This book presents volume 1 of selected research papers presented at the third International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, digital transformation and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

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.

The book provides a thorough overview of recent developments in the design of AI systems and their uses in a range of industries, including education, technology, and bioinformatics. The papers in the proceedings were presented at the Sixth International Conference on Artificial Intelligence, Medical Engineering, and Education (AIMEE2022), which took place in Wuhan, China, from August 19 to 21, 2022. The book underlines the need for the intensification of training of an increasing number of appropriate specialists given the rapid growth of AI systems. In order to replicate human and other species'natural intelligence in digital AI systems, the researchers have been studying genetics and inherited biological processes in-depth. These studies offer fresh ideas for developing ever more powerful AI techniques. The featured articles cover a variety of themes in the fields of mathematics and biomathematics, medical approaches, technical and educational approaches, and medical approaches. The book is a compilation of recent academic papers in the discipline, covering a wide range of topics that are important to both business managers and engineers. This proceedings is a fantastic resource for asset management practitioners, researchers, and academics, as well as undergraduate and graduate students who are interested in AI, bioinformatics systems, and their developing applications. This is due to the breadth and depth of the proceedings. Experts, students, and other people who are interested in learning about how AI systems might be used in the future are the target audience.

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

This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online.

This book discusses incentives for information management, usage of information for existing practices to become more efficient, the acceleration of executive learning, and an evaluation of the information management impact on an organization. In today's COVID-influenced volatile world, companies face a variety of challenges. And the most crucial of them are high levels of uncertainty and risk. Therefore, companies are constantly under pressure to provide sustainable solutions. Accordingly, previously gathered knowledge and information can be extremely helpful for this purpose. Hence, this fourth book of our subseries continues to accentuate on different approaches, which point to the importance of continuous progress in structural management for sustainable growth. It highlights the permanent gain and usage of information. We would be pleased if the book can stimulate further research on this subject matter.

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.

This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), presenting scientific work related to smart solution concepts. It discusses scientific works related to smart solutions concept in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.

This book offers a comprehensive review of smart technologies and perspectives on their application in urban engineering. It covers a wide range of applications, from transport and energy management to digital manufacturing, smart city, environment, and sustainable development, providing readers with new ideas for future research and collaborations. This book presents select papers from the International Conference on Smart Technologies in Urban Engineering (STUE-2022), held to commemorate the 100th anniversary of the O.M. Beketov National University of Urban Economy in Kharkiv, Ukraine, on June 9–11, 2022. All the contributions offer plenty of valuable information and would be of great benefit to the experience exchange among scientists in urban engineering.

This book gathers the proceedings of the 18th International Conference on Computing and Information Technology (IC2IT2022), held on May 19–20, 2022, in Kanchanaburi, Thailand. The topics covered include machine learning, natural language processing, image processing, intelligent systems and algorithms, as well as network and cloud computing. These lead to the major research directions for emerging information technology and innovation, reflecting digital trends.

This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy.This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.

With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very center of networks and exploits the value of people's connections, relations, and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities, and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. The aim of the book “Advances on Intelligent Networking and Collaborative Systems” is to provide latest research findings, innovative research results, methods, and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, and so on as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligentcollaborative systems.