This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.

This book provides a comprehensive collection of recent research addressing practical and emerging challenges in intelligent technologies and smart environments. It highlights innovative methods, real-world applications, and interdisciplinary solutions that support the development of intelligent systems capable of improving efficiency, sustainability, and decision-making in modern digital ecosystems.This book brings together contributions that explore advanced approaches in artificial intelligence, data analytics, machine learning, Internet of Things (IoT), smart cities, cybersecurity, and intelligent automation. By presenting both theoretical developments and applied research, this book offers insights into how intelligent technologies can be designed, optimized, and deployed to solve complex problems in areas such as transportation, healthcare, energy management, environmental monitoring, and urban infrastructure.A distinctive aspect of this work is its focus on integrating artificial intelligence techniques with smart environment applications, emphasizing scalable, data-driven, and human-centered solutions. This book highlights novel algorithms, hybrid models, and intelligent architectures that address issues related to efficiency, sustainability, and digital transformation. This book also presents case studies and experimental frameworks that demonstrate the practical impact of these technologies in real-world scenarios.This book has a broad scope covering topics such as intelligent data processing, predictive analytics, computer vision, deep learning systems, smart sensing technologies, and decision-support platforms. By combining methodological advances with application-oriented research, the book provides a balanced perspective on both the scientific and practical aspects of intelligent systems.This book is intended for researchers, academics, graduate students, engineers, and industry practitioners interested in artificial intelligence and smart environments. It serves as a valuable reference for those working in interdisciplinary domains where intelligent technologies are applied to improve system performance, automation, and digital services.