Proceedings of the 6th International Conference on Artificial Intelligence and Smart Energy (eBook)

ICAISE 2026, Volume 2
Artikelnummer: 978-3-032-23547-3
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2026
Seitenangabe477 S.
AusgabekennzeichenEnglisch
AbbildungenXII, 477 p. 217 illus., 186 illus. in color.
Masse59'464 KB
PlattformPDF
ReiheInformation Systems Engineering and Management; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorManoharan, S. (Hrsg.) / Tugui, Alexandru (Hrsg.) / Perikos, Isidoros (Hrsg.)

Alle Bände der Reihe "Information Systems Engineering and Management; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

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