9789813364028 - artificial intelligence and iot: smart convergence for eco-friendly topography (studies in big data, band 85) (3 Ergebnisse)
Artificial Intelligence and IoT: Smart Convergence for Eco-friendly Topography (Studies in Big Data)
Sprache: Englisch
Verlag: Springer 2022
Serie: Studies in Big Data, Buch 77 von 95. Buch 77 von 95 - Studies in Big Data
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
Weitere BilderSprache: Englisch
Verlag: Springer Singapore 2022
Serie: Studies in Big Data, Buch 77 von 95. Buch 77 von 95 - Studies in Big Data
- Softcover
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Taschenbuch. Zustand: Neu. Artificial Intelligence and IoT | Smart Convergence for Eco-friendly Topography | Kalaiselvi Geetha Manoharan (u. a.) | Taschenbuch | xvi | Englisch | 2022 | Springer Singapore | EAN 9789813364028 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[do…t]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore 2022
Serie: Studies in Big Data, Buch 77 von 95. Buch 77 von 95 - Studies in Big Data
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 221,53
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book projects a futuristic scenario that is more existent than they have been at any time earlier.To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies.Predictive and advanced analysis can be made base…d on the data collected, discovered and analyzed.To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe.While these are a few examples of issues, the authors' intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community.In editing this book, the authors' attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter.The only way to remain pace with this data generatedby the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT.IoT together with AI is more than an inclination or existence; it will develop into a paradigm.It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life.This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.
