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

ICAISE 2026, Volume 1
Artikelnummer: 978-3-032-23544-2
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book provides an overview of current advancements in research related to artificial intelligence (AI), the internet of things (IoT), machine learning (ML), and intelligent computerized systems. It includes state-of-the-art innovative methodologies and real-time examples in a range of the technical fields discussed. The chapters address emerging serious concerns related to wireless networks, sustainability, cybersecurity, deep learning applications within the medical research field, automated intelligent systems, and smart surveillance guidance systems. Additionally, the discussions include reinforcement learning, explainable AI, multilayer deep learning, and optimization defined by experimental results based on benchmark datasets and within real-time environments. Through the integration of theoretical foundations with practical implementation studies, the chapters provide insights into developing scalable, energy-efficient, and secure intelligent systems for future digital environments. Encompassing current research trends within the intelligent data-driven, advanced computational intelligence field, this book will be of a great resource for researchers, industry practitioners, and graduate students.

This book provides an overview of current advancements in research related to artificial intelligence (AI), the internet of things (IoT), machine learning (ML), and intelligent computerized systems. It includes state-of-the-art innovative methodologies and real-time examples in a range of the technical fields discussed. The chapters address emerging serious concerns related to wireless networks, sustainability, cybersecurity, deep learning applications within the medical research field, automated intelligent systems, and smart surveillance guidance systems. Additionally, the discussions include reinforcement learning, explainable AI, multilayer deep learning, and optimization defined by experimental results based on benchmark datasets and within real-time environments. Through the integration of theoretical foundations with practical implementation studies, the chapters provide insights into developing scalable, energy-efficient, and secure intelligent systems for future digital environments. Encompassing current research trends within the intelligent data-driven, advanced computational intelligence field, this book will be of a great resource for researchers, industry practitioners, and graduate students.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe486 S.
AusgabekennzeichenEnglisch
AbbildungenXII, 486 p. 212 illus., 159 illus. in color.
Masse52'245 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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