The convergence of self-sustaining systems with AI and IoT:

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-...

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Weitere Verfasser: Rajappan, Roopa Chandrika (HerausgeberIn), Ganesh, N. S. Gowri 1971- (HerausgeberIn), Daniel, J. Alfred (HerausgeberIn), Ahmad, Awais (HerausgeberIn), Santhosh, R. (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey PA, USA IGI Global [2024]
Schriftenreihe:Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
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Online-Zugang:DE-91
DE-898
DE-1050
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Zusammenfassung:Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration.Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.
Beschreibung:1 Online-Ressource (xxiii, 405 Seiten) Illustrationen
ISBN:9798369317037
DOI:10.4018/979-8-3693-1702-0

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