Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The monograph explores how Artificial Intelligence (AI) integrates into Wireless Sensor Networks (WSNs), transforming their capabilities. Beginning with WSN basics, the study covers AI's evolution, objectives, and scope. It delves into AI fundamentals, machine learning, and deep learning for WSNs. AI-driven data collection, adaptive sampling, and collaborative sensing are highlighted. Real-time data processing, edge computing, and data fusion are explored. The role of cognitive radio, spectrum sensing, and AI-based spectrum management in WSNs is discussed. Security and privacy are major concerns, including AI-based intrusion detection, privacy-preserving data management, and secure communication. Future trends involve 5G integration, while ethical challenges like data privacy and fairness are addressed. In conclusion, AI revolutionizes WSNs but managing ethics is crucial for responsible deployment, unlocking their potential in various applications. 72 pp. Englisch. N� de ref. del art�culo: 9786206780977

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Artificial Intelligence Enabled Wireless Sensor Networks

Tamilselvi, Dr. J. Jebamalar; Saravanan, Dr. V.; Kanimozhi, Mrs. T.

Publicado por LAP LAMBERT Academic Publishing, 2023

ISBN 10: 620678097X ISBN 13: 9786206780977

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Librería: Biblios, Frankfurt am main, HESSE, Alemania

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Condici�n: New. PRINT ON DEMAND. N� de ref. del art�culo: 18405860038

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Artificial Intelligence Enabled Wireless Sensor Networks

Dr. J. Jebamalar Tamilselvi|Dr. V. Saravanan|Mrs. T. Kanimozhi

Publicado por LAP LAMBERT Academic Publishing, 2023

ISBN 10: 620678097X ISBN 13: 9786206780977

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tamilselvi Dr. J. JebamalarDr. J. Jebamalar Tamilselvi received Ph.D. in the Dept. of Computer Applications at Karunya University. Dr. V. Saravanan completed Ph.D. in Computer Science from Bharathiar University.Mrs. T. Kanimozhi work. N� de ref. del art�culo: 1126495068

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Artificial Intelligence Enabled Wireless Sensor Networks

J. Jebamalar Tamilselvi

Publicado por LAP LAMBERT Academic Publishing Aug 2023, 2023

ISBN 10: 620678097X ISBN 13: 9786206780977

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The monograph explores how Artificial Intelligence (AI) integrates into Wireless Sensor Networks (WSNs), transforming their capabilities. Beginning with WSN basics, the study covers AI's evolution, objectives, and scope. It delves into AI fundamentals, machine learning, and deep learning for WSNs. AI-driven data collection, adaptive sampling, and collaborative sensing are highlighted. Real-time data processing, edge computing, and data fusion are explored. The role of cognitive radio, spectrum sensing, and AI-based spectrum management in WSNs is discussed. Security and privacy are major concerns, including AI-based intrusion detection, privacy-preserving data management, and secure communication. Future trends involve 5G integration, while ethical challenges like data privacy and fairness are addressed. In conclusion, AI revolutionizes WSNs but managing ethics is crucial for responsible deployment, unlocking their potential in various applications.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 72 pp. Englisch. N� de ref. del art�culo: 9786206780977

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Artificial Intelligence Enabled Wireless Sensor Networks : Innovations and Applications

J. Jebamalar Tamilselvi

Publicado por LAP LAMBERT Academic Publishing, 2023

ISBN 10: 620678097X ISBN 13: 9786206780977

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The monograph explores how Artificial Intelligence (AI) integrates into Wireless Sensor Networks (WSNs), transforming their capabilities. Beginning with WSN basics, the study covers AI's evolution, objectives, and scope. It delves into AI fundamentals, machine learning, and deep learning for WSNs. AI-driven data collection, adaptive sampling, and collaborative sensing are highlighted. Real-time data processing, edge computing, and data fusion are explored. The role of cognitive radio, spectrum sensing, and AI-based spectrum management in WSNs is discussed. Security and privacy are major concerns, including AI-based intrusion detection, privacy-preserving data management, and secure communication. Future trends involve 5G integration, while ethical challenges like data privacy and fairness are addressed. In conclusion, AI revolutionizes WSNs but managing ethics is crucial for responsible deployment, unlocking their potential in various applications. N� de ref. del art�culo: 9786206780977

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