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.
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Vendeur : moluna, Greven, Allemagne
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 477 pp. Englisch. N° de réf. du vendeur 9783032235466
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Taschenbuch. Etat : Neu. Proceedings of the 6th International Conference on Artificial Intelligence and Smart Energy | ICAISE 2026, Volume 2 | S. Manoharan (u. a.) | Taschenbuch | Information Systems Engineering and Management | xii | Englisch | 2026 | Springer | EAN 9783032235466 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 135567937
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 492 pp. Englisch. N° de réf. du vendeur 9783032235466
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783032235466
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