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This Open Access book constitutes the proceedings from the First Global Internet of Things and Edge Computing Summit, GIECS 2024, held in September 24–25, 2024, in Brussels, Belgium. The 12 full papers presented here were carefully reviewed and selected from 21 submissions. These papers have been organized under the following topical sections: Industrial Internet of Things (IIoT) and Digital Twins; Data Management, Privacy, and Trust in Distributed Systems; Edge Computing and Cross-Domain Systems.

This book presents the latest research findings from leading space robotic researchers around the world, together with contributions from leading space systems industrialists on the practical aspects of research and development in space robotics. The book also considers future challenges and trends to provide a ‘look ahead'for space robotics. The European Commission set up the “Space Robotic Technologies” Strategic Research Cluster (SRC) in its flagship funding programme Horizon 2020, with the goal of enabling major advances in strategic key points of Space Robotics Technologies, in order to improve European competitiveness. Space robotics have advanced rapidly in recent years, as reflected in recent successful space exploration missions like NASA's successful landing and operation of the Curiosity rover on Mars, and the European Space Agency's equally successful landing of its Philae probe on comet 67P/Churyumov–Gerasimenko. These advances have inspired many young graduates and undergraduates to study space robotics.

With the constant evolution of technology, libraries must grapple with the urgent need to adapt or face obsolescence. The integration of artificial intelligence (AI) into library operations presents many new opportunities as well as a complex array of challenges. The traditional roles of libraries, as pillars of knowledge and information, are being reshaped by AI, compelling institutions to reassess their relevance in an ever-evolving digital landscape. The urgency of this intersection between libraries and AI is emphasized by the necessity to revolutionize outdated systems, and it is in this dynamic context that Applications of Artificial Intelligence in Libraries emerges as an essential guide. Applications of Artificial Intelligence in Libraries offers a comprehensive exploration of the multifaceted integration of AI into library operations and services. This book goes beyond theoretical discourse, providing real-world case studies, practical implementations, and research that illustrates how AI is reshaping cataloging, resource discovery, user interactions, and data management within library environments. For librarians and AI professionals alike, the challenges are diverse, ranging from ethical considerations and privacy concerns to the complex task of incorporating AI into the fabric of library services. The book addresses the ethical implications of AI-enabled libraries, offering strategies for navigating privacy concerns and potential challenges in the implementation of AI. It serves as a strategic guide for evaluating the impact and effectiveness of AI initiatives, developing policies and practices centered around AI, and training librarians for the inevitable integration of AI into their roles. By fostering collaboration between librarians, researchers, and AI experts, this book aims to empower professionals to navigate the transformative journey that AI is ushering in for libraries, fostering innovation, collaboration, and the creation of more effective and user-centric library services.

The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula. AI-Enhanced Teaching Methods presents a comprehensive perspective on the potential of AI in education. The book goes beyond theoretical discussions, providing educators, administrators, and researchers with a practical resource. Through in-depth case studies, best practices, and strategic guidance, it navigates the ethical nuances, legal considerations, and strategies for preparing educators for an AI-integrated future. This essential guide not only helps integrate AI into teaching but also empowers stakeholders to innovate and meet the diverse needs of students in the digital age, shaping the educational landscape.

The shift to virtual education has presented numerous challenges, including maintaining student focus and participation. Traditional methods of instruction often need to catch up in capturing the attention of digital learners, leading to disengagement and reduced learning outcomes. However, there is a solution at hand. AI Algorithms and ChatGPT for Student Engagement in Online Learning offers a comprehensive approach to leveraging artificial intelligence (AI) algorithms and ChatGPT to enhance student engagement in digital classrooms. This book addresses the pressing need for innovative strategies to keep students actively involved in their online learning journey. By harnessing the power of AI algorithms, educators can personalize learning paths to suit individual student needs, ensuring that content is relevant and engaging. Additionally, ChatGPT serves as a virtual assistant, providing students with instant feedback and support, fostering a sense of connection to the learning process. AI Algorithms and ChatGPT for Student Engagement in Online Learning is a valuable resource for educators, students, researchers, and practitioners seeking to enhance the online learning experience. Through a deep dive into the role of AI in education, this book equips readers with the knowledge and tools needed to create dynamic and engaging online learning environments. Whether you want to improve student participation or enhance learning outcomes, this book offers practical insights and strategies to revolutionize online education.

Demystifying the Dark Side of AI in Business delves into the often-overlooked negative aspects of Artificial Intelligence (AI) and its implications for organizations. In an era where AI is rapidly transforming industries and work environments, it is crucial to understand the potential risks and challenges associated with its implementation. Drawing from a wide range of global perspectives, this book brings together articles from leading researchers, academicians, and professionals across disciplines to shed light on the dark side of AI. Through academic rigor and meticulous analysis, the book addresses key topics such as unethical AI implementation, safety risks, negative social impacts, unintended consequences, and legal concerns surrounding AI adoption. This book explores the need for effective governance to address the challenges posed by AI. It highlights the potential for AI to be exploited by humans, emphasizing the individual, organizational, and social risks that come with its misuse. By presenting real-world case studies and practical insights, the book equips readers with the knowledge to navigate the complexities of AI implementation and make informed decisions. Demystifying the Dark Side of AI in Business covers crucial topics such as governance, ethical concerns, safety risks, social impacts, and future perspectives. By illuminating the negative implications of AI, this book paves the way for responsible and informed AI adoption, ensuring a balance between the potential benefits and the inherent risks associated with this transformative technology. Targeting researchers, academicians, professionals, and students with a wide range of interests, this book offers a rich understanding of the theoretical and practical implications of AI. It serves as a valuable resource for management disciplines like human resource management, marketing, financial management, and operations management, enabling readers to grasp the nuances of ai in different organizational contexts.

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

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.

Discover the potential of 5G, 6G, and smart hospitals beyond connectivity in Smart Hospitals: 5G, 6G, and Moving Beyond Connectivity and learn how these advancements are revolutionizing healthcare and the digital world. The advancement of wireless communication technologies has revolutionized the way we connect and interact with the digital world. The introduction of 5G networks has paved the way for faster, more reliable, and low-latency wireless connections. However, as technology continues to evolve, the focus is now shifting toward exploring the future potential of 5G and 6G and their applications in various industries. One such industry that stands to benefit significantly from these advancements is healthcare, particularly with the concept of smart hospitals. The development of smart hospitals relies on IT infrastructure, software solutions, and data management systems. IT professionals and software developers work with healthcare professionals on designing and implementing systems that enable seamless connectivity, data integration, analytics, and security in smart hospital environments. Smart Hospitals: 5G, 6G, and Moving Beyond Connectivity delves into the potential of 5G, 6G, and smart hospitals, highlighting how they go beyond mere connectivity.

This book constitutes the revised selected papers of the 41st IBIMA International Conference on Artificial intelligence and Computer Science, IBIMA-AI 2023, which took place in Granada, Spain during June 26-27, 2023. The 30 full papers and 8 short papers included in this volume were carefully reviewed and selected from 58 submissions. The book showcases a diverse array of research papers spanning various disciplines within the realm of Artificial Intelligence, Machine Learning, Information Systems, Communications Technologies, Software Engineering, and Security and Privacy.

Breast cancer is one of the most prevalent malignancies worldwide, particularly in females, with a high rate of cancer-related deaths globally. Increasing age, obesity, harmful use of alcohol, family history of breast cancer, starting age of menstrual periods, and tobacco use are some of the risk factors for breast cancer. The fifth volume of the “Interdisciplinary Cancer Research” series, entitled “Breast Cancer Pathophysiology: An Interdisciplinary Approach” publishes comprehensive volumes on the mechanisms of breast cancer, early detection, assessment, and patient outcome. The role of defective estrogen signals, membrane estrogen receptor, and dietary polyunsaturated fatty acids in breast cancer are also presented in this volume. This interdisciplinary series is of special value to researchers working on cell biology, immunology, biochemistry, genetics, and practitioners working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value to researchers, oncologists, and oncosurgeons who wish to extend their knowledge on breast cancer.

This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during December 21–22, 2023. The 29 full papers included in this book were carefully reviewed and selected from 173 submissions. They were organized in topical sections as follows: Machine Learning; Image Processing; Network Security; and Data Sciences.

This conference discussed the application of communication and IoT engineering in the era of smart technologies from the perspective of disciplinary integration, combining the theory and relevant algorithms of IoT and smart technologies. The book encompasses the entire spectrum of IoT solutions, from IoT to cybersecurity. It explores communication systems, including sixth generation (6G) mobile, D2D and M2M communications. It also focuses on intelligent technologies, especially information systems modeling and simulation. In addition, it explores the areas of pervasive computing, distributed computing, high performance computing, pervasive and mobile computing, and cloud computing.

In modern business, entrepreneurial leadership stands as a linchpin for organizational triumph. Yet, the multifaceted nature of entrepreneurial leadership transcends boundaries, creating a challenge for those operating in culturally diverse contexts. The critical issue at hand revolves around the urgent need for a cross-cultural understanding and framework for entrepreneurial leadership. In a world where different cultures shape and interpret leadership uniquely, grasping the essence of entrepreneurial leadership across borders is pivotal for organizational success. This pervasive challenge has spurred the development of a groundbreaking academic work. Transformational Concepts and Tools for Entrepreneurial Leadership is poised to address this gap in the literature, offering a unique and comprehensive perspective on entrepreneurial leadership. With a focus on cross-cultural insights, the book delves into the intricacies of this leadership style, providing both theoretical foundations and practical guidance. Unlike existing publications, this work is designed to empower a wide audience, from entrepreneurs and business leaders to HR managers, academics, and students, with the tools and knowledge needed to thrive in today's globalized marketplace. By tackling issues such as identifying key dimensions of entrepreneurial leadership, cross-cultural validation of measures, and the cultivation of diverse entrepreneurial leadership teams, this solution-oriented publication ensures that readers can not only understand its concepts but also apply them effectively in real-world scenarios. For those committed to achieving greatness in a diverse world, this book offers a roadmap to success, transforming the challenges of cross-cultural entrepreneurial leadership into opportunities for growth and innovation.

This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering “Congress on Control, Robotics, and Mechatronics” (CRM 2024), jointly organized by SR University, Warangal, India, and Soft Computing Research Society, India, during 3–4 February 2024. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.

Generalmente, vivimos en un mundo donde la palabra tiene un poder incalculable. Las palabras definen nuestro entorno y nuestro alrededor, ayudándonos a describir el mundo que nos rodea. En este sentido, podemos hablar de la lengua como un concepto y la lingüística como una ciencia pura que la analiza y la estudia para conocer sus usos más allá de lo puramente estructural. Asimismo, estos conceptos deben ser aplicados a la actualidad que vivimos y su desarrollo en la sociedad actual.

As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention – from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth. The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled. The book caters to businesses, industry leaders, academics, researchers, and policymakers. It beckons readers into a world where empirical and theoretical research converge to shape the future of OpenAI and multifactor productivity. With a wide variety of recommended topics, spanning from international business and global economic dynamics to labor market adaptation, ethical implications, and environmental sustainability, the book establishes itself as a resource for anyone seeking to understand, navigate, and capitalize on the intersection of OpenAI and multifactor productivity in the ever-evolving landscape of business.

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 deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of applications that have been used in an awe-inspiring way. These networks offer effective solutions to practical, real-world problems. The wide variety of application fields of the studies in the book is remarkable; these are related to sensorization, agriculture, healthcare, air pollution, video games, and cybersecurity, among others. To organize this variety, the chapters have been grouped into three sections related to: (1) Forecasting and Prediction, (2) Knowledge Discovery and Knowledge Management, and (3) Signal Processing. This book aims to reach readers interested in ANNs and their applications in different fields, so it is interesting not only for computer science but also for other related disciplines.

This volume delves into the application of Artificial Intelligence within systems and network environments. Highlighted papers investigate the latest in neural network applications, optimisation strategies, and hybrid bio-inspired algorithms. It includes the rigorously reviewed proceedings of the Artificial Intelligence Application in Networks and Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held online in April 2024.

This book presents a groundbreaking exploration into the dynamic synergy between artificial intelligence and business development. Titled'AI Integration for Business Development: Navigating Opportunities, Unleashing Potential, Managing Risks,'it serves as an indispensable guide for leaders and visionaries aiming to harness the transformative power of AI. The book introduces a comprehensive journey that unveils the strategic integration of AI into business development strategies. This book shows how to navigate a myriad of opportunities, strategically unleash untapped potential, and adeptly manage risks in the ever-evolving landscape of artificial intelligence. Through meticulous insights, real-world examples, and actionable strategies, readers gain the knowledge to make informed decisions and drive competitive advantage. This book presents not only a roadmap for identifying lucrative opportunities but also a blueprint for unlocking the full potential of AI technologies. Whether you are a seasoned executive, entrepreneur, or decision-maker, this book empowers you to proactively manage risks inherent in AI adoption, ensuring resilience and adaptability in your business model. Discover how to stay ahead in the rapidly changing business landscape, shaping the future of your business development initiatives. This book is your indispensable companion, offering profound insights into AI integration and empowering you to seize the transformative potential of AI. This book is your key to charting a course toward sustained success and innovation in the dynamic world of modern business.

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.

The emergence of artificial intelligence (AI) has ushered in a transformative wave, disrupting trends and reshaping the landscape of services marketing. As businesses grapple with the interplay between evolving consumer behaviors and the progression of AI, a critical need emerges for a guide to navigate this complex terrain. The stakes are high, and the challenges are multifaceted – from redefining customer experiences to addressing ethical considerations in the age of automation. In response to these pressing issues, AI Innovation in Services Marketing stands out as a source of insight, unraveling the complexity surrounding the integration of AI in services marketing. This book endeavors to equip readers with an understanding of how AI is not just a tool but a force driving profound transformation in services marketing. Through a lens focused on real-world examples and insightful case studies, it illuminates the impact of AI on productivity and customer experiences. Beyond the transformative power, the book grapples with the ethical considerations that arise in the wake of AI adoption in services marketing. It seeks to guide both academics and practitioners, offering a resource to harness AI strategically, optimize services, and maintain a competitive edge in the global market. Whether you're a marketing scholar seeking comprehensive insights, an educator guiding the next generation, a student delving into the latest trends, or a researcher exploring the uncharted territories of AI, this book is crafted for you. The chapters traverse critical topics such as the convergence of services and AI, the impact of AI on customer support, personalization through recommendation engines, ethical considerations, measuring AI's impact on customer experience, and forecasting future trends. Supported by compelling case studies, this book serves as an indispensable guide for those looking to understand, adapt, and thrive in the AI-driven landscape of services marketing.

In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Amidst this evolution, the challenge lies in comprehending and navigating the dimensions and components of Industry 6.0. For scholars, students, and professionals in fields such as industrial engineering, electrical engineering, computer engineering, management, and business, the need to grasp the implications of these advancements is paramount. The complexity of ultra-advanced Industry 6.0 poses a significant hurdle, as individuals strive to understand the profound effects on supply chains, smart factories, production processes, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.

The book presents latest results pertaining to challenges faced by researchers in space data management. There are large number of highly important applications that currently rely upon data from satellites and space missions, ranging from weather prediction to monitoring of environmental pollution, climate change, marine traffic, agriculture, and urban planning, etc. The quality and quantity of space data poses new and specific challenges to the scientific community, covering the entire life cycle of space data management and with a need for an interdisciplinary approach. The chapters written by experts discusses impacts of these challenges, and report activities that can stimulate new research.

Committed to highlighting the regulatory needs and priorities of emerging economies in the context of AI and big data, this expertly crafted Companion explores the nature and role of regulation in the Global South from a techno-dependent societal perspective. It not only amplifies the unspoken and underrepresented voices in AI and data regulation scholarly discourse, but also provides a novel approach to otherwise recipient economies in an age of digital transformation.Covering central themes such as regulatory flows, self-regulation and AI ethics, contextual regulation, and regulatory devices, the Companion brings together an array of eminent academics from across the globe. Chapters critically reflect on the nature and role of regulation, charting the tapestry of regulatory influence and capacity, values, and relationships of dependence and vulnerability attendant on advancing AI and mass data sharing. The regulatory challenges facing emerging economies and post-colonial societies are examined, and contributors engage new frames of thinking and solutions from perspectives beyond the interests of techno-colonialism.International and interdisciplinary in scope, this Companion will be an interesting read for academics and students in development studies, law and development, innovation and technology studies, and regulation and governance.

This book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances of the selected areas, the book aims to aggregate new and innovative solutions for confirmed researchers and on the other hand to provide a source of information and/or inspiration for young interested researchers or learners in the ever-expanding and current field of Computational Intelligence. It constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fieldsof applications.

This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

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

This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2022). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, decision-making, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different application areas. In addition, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas. Finally, there are a group of papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

The book presents best selected research papers presented at the Fourth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2023), organized by Arya College of Engineering and IT, Jaipur, on April 28–29, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.

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

This book presents high-quality, peer-reviewed papers from the International Conference in Information Technology & Education (ICITED 2022), to be held at the ESPM – Higher School of Advertising and Marketing, Rio de Janeiro, Brazil, between July 14 – 16, 2022. This book covers a specific field of knowledge. This intends to cover not only two fields of knowledge – Education and Technology – but also the interaction among them and the impact/result in the job market and organizations. It covers the research and pedagogic component of Education and Information Technologies and also the connection with Society, addressing the three pillars of higher education. This book addresses impact of pandemic on education and use of technology in education. Finally, it also encourages companies to present their professional cases which will be discussed. These can constitute real examples of how companies are overcoming their challenges with the uncertainty of the market.

This is an open access book.The 2022 3rd International Conference on Artificial Intelligence and Education（ICAIE 2022） will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of'artificial intelligence'and'education'under the new situation, and jointly discussed how to empower and promote the high-quality development of'artificial intelligence'and'education'. An ideal platform to share views and experiences with industry experts.The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.

This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can betaken to real situations, allowing a better understanding of these and generating new visions of future applicability.

The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Fourth Industrial Revolution (IR 4.0)” served as a platform for researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present and exchange their research findings and development activities through oral presentations. The book covers various topics of interest, including:Robotics, Control, Mechatronics and AutomationTelecommunication Systems and ApplicationsElectronic Design and ApplicationsVision, Image and Signal ProcessingElectrical Power, Energy and Industrial ApplicationsComputer and Information TechnologyBiomedical Engineering and ApplicationsIntelligent SystemsInternet-of-thingsMechatronicsMobile Technology

This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

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 presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Artificial intelligence (AI) is going to play a significant role in smart grid planning and operation, especially in solving its real-time problems, as it is fast, adaptive, robust, and less dependent on the system's accurate model and parameters. This collection covers research advancements in the application of AI in the planning and operation of smart grids. A global group of researchers and scholars present innovative approaches to AI-based smart grid planning and operation, cover the theoretical concepts and experimental results of the application of AI-based techniques, and apply these techniques to deal with smart grid issues. Applications of Artificial Intelligence in Planning and Operation of Smart Grids is an ideal resource for researchers on the theory and application of AI, practicing engineers working in electrical power engineering, and students in advanced graduate-level courses.

Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

This book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications.

This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.

Volume CCIS 1655 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on 29–30 July 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.