This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.

Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.

Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools.

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools.

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book:

The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book:

The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.

Industry 5.0 suggests a new stage of industrial growth that expands upon earlier stages of industrialization, emphasizing human-centered approaches to technology and digital sustainability. With its innovative approach, Industry 5.0 will contribute to the resolution of the manufacturing–social need mismatch issue. In contrast to other industrial revolutions that placed more emphasis on the financial aspects of sustainability, the Industry 5.0 vision places more emphasis on social demands and human centricity.

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way focuses on the challenges that companies in the field of quality management in Industry 5.0 face, particularly in relation to client value aspects. The book devotes a lot of space to the issues of client satisfaction, cybersecurity, e-commerce, TQM, and collaborative work between robots and humans in the company.

Features:

Includes:

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way serves as a future road map, guiding readers through the complexities of industrial progress.

Academic researchers, along with senior undergraduate and graduate students, are the primary target audience.

Industry 5.0 suggests a new stage of industrial growth that expands upon earlier stages of industrialization, emphasizing human-centered approaches to technology and digital sustainability. With its innovative approach, Industry 5.0 will contribute to the resolution of the manufacturing–social need mismatch issue. In contrast to other industrial revolutions that placed more emphasis on the financial aspects of sustainability, the Industry 5.0 vision places more emphasis on social demands and human centricity.

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way focuses on the challenges that companies in the field of quality management in Industry 5.0 face, particularly in relation to client value aspects. The book devotes a lot of space to the issues of client satisfaction, cybersecurity, e-commerce, TQM, and collaborative work between robots and humans in the company.

Features:

Includes:

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way serves as a future road map, guiding readers through the complexities of industrial progress.

Academic researchers, along with senior undergraduate and graduate students, are the primary target audience.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.

AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.

Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.

AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.

Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

The First International Medical Case Reports Conference, 2024(IMED-C) was a pioneering event set to redefine the landscape of medical research and case reporting. This conference was designed to foster collaboration and knowledge exchange among healthcare professionals, researchers, and scholars worldwide. What made this edition exceptional was its virtual online format, breaking down geographical barriers and transforming the way medical knowledge is shared. It was a platform where the latest breakthroughs in medical case reports were unveiled, innovative diagnostic strategies and treatment approaches showcased, and visionary ideas were given a voice. It became a central meeting point for professionals and scholars seeking to share experiences and expertise across borders.

The First International Medical Case Reports Conference, 2024(IMED-C) was a pioneering event set to redefine the landscape of medical research and case reporting. This conference was designed to foster collaboration and knowledge exchange among healthcare professionals, researchers, and scholars worldwide. What made this edition exceptional was its virtual online format, breaking down geographical barriers and transforming the way medical knowledge is shared. It was a platform where the latest breakthroughs in medical case reports were unveiled, innovative diagnostic strategies and treatment approaches showcased, and visionary ideas were given a voice. It became a central meeting point for professionals and scholars seeking to share experiences and expertise across borders.

Enhancing Smart Universities with Emotional Intelligence investigates the successful blending of technology innovations and human beings’ emotional intelligence within higher education institutions in the midst of digital transformation. Today’s “smart” universities improve student experiences, expedite administrative procedures, and facilitate individualized learning pathways by integrating a variety of cutting-edge technologies such as machine learning, big data analytics, immersive and wearable learning tools, digital management systems, and cloud computing. But how can leaders and administrators ensure that these advancements don’t come at the expense of positive experiences and relationships among students and faculty? Built from theoretical frameworks, case studies, and empirical research, this book offers a thorough manual for comprehending the crucial nexus of technology and human abilities to enable dynamic and sustainable learning environments. Each chapter is essential for college and university leaders, administrators, and policymakers around the world who are charged with ensuring that human talents and digital technologies are properly balanced for the best possible learning experiences.

Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.

Enhancing Smart Universities with Emotional Intelligence investigates the successful blending of technology innovations and human beings’ emotional intelligence within higher education institutions in the midst of digital transformation. Today’s “smart” universities improve student experiences, expedite administrative procedures, and facilitate individualized learning pathways by integrating a variety of cutting-edge technologies such as machine learning, big data analytics, immersive and wearable learning tools, digital management systems, and cloud computing. But how can leaders and administrators ensure that these advancements don’t come at the expense of positive experiences and relationships among students and faculty? Built from theoretical frameworks, case studies, and empirical research, this book offers a thorough manual for comprehending the crucial nexus of technology and human abilities to enable dynamic and sustainable learning environments. Each chapter is essential for college and university leaders, administrators, and policymakers around the world who are charged with ensuring that human talents and digital technologies are properly balanced for the best possible learning experiences.

Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.

Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.

Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools.

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools.

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book:

The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms. The book:

The text is primarily written for graduate students, postgraduate students, and academic researchers working in the fields of computer science and engineering, information technology and machine learning.

Industry 5.0 suggests a new stage of industrial growth that expands upon earlier stages of industrialization, emphasizing human-centered approaches to technology and digital sustainability. With its innovative approach, Industry 5.0 will contribute to the resolution of the manufacturing–social need mismatch issue. In contrast to other industrial revolutions that placed more emphasis on the financial aspects of sustainability, the Industry 5.0 vision places more emphasis on social demands and human centricity.

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way focuses on the challenges that companies in the field of quality management in Industry 5.0 face, particularly in relation to client value aspects. The book devotes a lot of space to the issues of client satisfaction, cybersecurity, e-commerce, TQM, and collaborative work between robots and humans in the company.

Features:

Includes:

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way serves as a future road map, guiding readers through the complexities of industrial progress.

Academic researchers, along with senior undergraduate and graduate students, are the primary target audience.

Industry 5.0 suggests a new stage of industrial growth that expands upon earlier stages of industrialization, emphasizing human-centered approaches to technology and digital sustainability. With its innovative approach, Industry 5.0 will contribute to the resolution of the manufacturing–social need mismatch issue. In contrast to other industrial revolutions that placed more emphasis on the financial aspects of sustainability, the Industry 5.0 vision places more emphasis on social demands and human centricity.

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way focuses on the challenges that companies in the field of quality management in Industry 5.0 face, particularly in relation to client value aspects. The book devotes a lot of space to the issues of client satisfaction, cybersecurity, e-commerce, TQM, and collaborative work between robots and humans in the company.

Features:

Includes:

This book Aspects of Quality Management in Value Creating in the Industry 5.0 Way serves as a future road map, guiding readers through the complexities of industrial progress.

Academic researchers, along with senior undergraduate and graduate students, are the primary target audience.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.

AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.

Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.

AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.

Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

The First International Medical Case Reports Conference, 2024(IMED-C) was a pioneering event set to redefine the landscape of medical research and case reporting. This conference was designed to foster collaboration and knowledge exchange among healthcare professionals, researchers, and scholars worldwide. What made this edition exceptional was its virtual online format, breaking down geographical barriers and transforming the way medical knowledge is shared. It was a platform where the latest breakthroughs in medical case reports were unveiled, innovative diagnostic strategies and treatment approaches showcased, and visionary ideas were given a voice. It became a central meeting point for professionals and scholars seeking to share experiences and expertise across borders.

The First International Medical Case Reports Conference, 2024(IMED-C) was a pioneering event set to redefine the landscape of medical research and case reporting. This conference was designed to foster collaboration and knowledge exchange among healthcare professionals, researchers, and scholars worldwide. What made this edition exceptional was its virtual online format, breaking down geographical barriers and transforming the way medical knowledge is shared. It was a platform where the latest breakthroughs in medical case reports were unveiled, innovative diagnostic strategies and treatment approaches showcased, and visionary ideas were given a voice. It became a central meeting point for professionals and scholars seeking to share experiences and expertise across borders.

Enhancing Smart Universities with Emotional Intelligence investigates the successful blending of technology innovations and human beings’ emotional intelligence within higher education institutions in the midst of digital transformation. Today’s “smart” universities improve student experiences, expedite administrative procedures, and facilitate individualized learning pathways by integrating a variety of cutting-edge technologies such as machine learning, big data analytics, immersive and wearable learning tools, digital management systems, and cloud computing. But how can leaders and administrators ensure that these advancements don’t come at the expense of positive experiences and relationships among students and faculty? Built from theoretical frameworks, case studies, and empirical research, this book offers a thorough manual for comprehending the crucial nexus of technology and human abilities to enable dynamic and sustainable learning environments. Each chapter is essential for college and university leaders, administrators, and policymakers around the world who are charged with ensuring that human talents and digital technologies are properly balanced for the best possible learning experiences.

Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.

Enhancing Smart Universities with Emotional Intelligence investigates the successful blending of technology innovations and human beings’ emotional intelligence within higher education institutions in the midst of digital transformation. Today’s “smart” universities improve student experiences, expedite administrative procedures, and facilitate individualized learning pathways by integrating a variety of cutting-edge technologies such as machine learning, big data analytics, immersive and wearable learning tools, digital management systems, and cloud computing. But how can leaders and administrators ensure that these advancements don’t come at the expense of positive experiences and relationships among students and faculty? Built from theoretical frameworks, case studies, and empirical research, this book offers a thorough manual for comprehending the crucial nexus of technology and human abilities to enable dynamic and sustainable learning environments. Each chapter is essential for college and university leaders, administrators, and policymakers around the world who are charged with ensuring that human talents and digital technologies are properly balanced for the best possible learning experiences.

Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.