This book details an array of modern research investigations about the intersection of artificial intelligence (AI), deep learning (DL), embedded intelligence, blockchain technologies, and data-driven decision-making systems while facing many new challenges raised by emerging technologies within health care, cybersecurity, smart infrastructure, sustainable energy, and intelligent automation. The chapters included in this book investigate different prototypes, case studies, projects, and solutions developed by researchers. Each included chapter has integrated advanced computational models with the perspectives of implementing those models in the real world to create new theories that will lead to new, explainable, secure, and scalable AI-based systems for creating the next-generation digital ecosystems. Overall, this book is a compilation of theoretical concepts with practical applications that cover multimodal learning, explainable AI, hybrid optimization frameworks, predictive analytics, and autonomous systems. This book provides an excellent reference for researchers, academicians, graduate students, and working professionals from various industries.

This book details an array of modern research investigations about the intersection of artificial intelligence (AI), deep learning (DL), embedded intelligence, blockchain technologies, and data-driven decision-making systems while facing many new challenges raised by emerging technologies within health care, cybersecurity, smart infrastructure, sustainable energy, and intelligent automation. The chapters included in this book investigate different prototypes, case studies, projects, and solutions developed by researchers. Each included chapter has integrated advanced computational models with the perspectives of implementing those models in the real world to create new theories that will lead to new, explainable, secure, and scalable AI-based systems for creating the next-generation digital ecosystems. Overall, this book is a compilation of theoretical concepts with practical applications that cover multimodal learning, explainable AI, hybrid optimization frameworks, predictive analytics, and autonomous systems. This book provides an excellent reference for researchers, academicians, graduate students, and working professionals from various industries.

This book details an array of modern research investigations about the intersection of artificial intelligence (AI), deep learning (DL), embedded intelligence, blockchain technologies, and data-driven decision-making systems while facing many new challenges raised by emerging technologies within health care, cybersecurity, smart infrastructure, sustainable energy, and intelligent automation. The chapters included in this book investigate different prototypes, case studies, projects, and solutions developed by researchers. Each included chapter has integrated advanced computational models with the perspectives of implementing those models in the real world to create new theories that will lead to new, explainable, secure, and scalable AI-based systems for creating the next-generation digital ecosystems. Overall, this book is a compilation of theoretical concepts with practical applications that cover multimodal learning, explainable AI, hybrid optimization frameworks, predictive analytics, and autonomous systems. This book provides an excellent reference for researchers, academicians, graduate students, and working professionals from various industries.