9786206780977 - Artificial Intelligence Enabled Wireless Sensor Networks: Innovations and Applications de Tamilselvi, J. Jebamalar; Saravanan, V.; Kanimozhi, T. (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Artificial Intelligence Enabled Wireless Sensor Networks | Innovations and Applications | J. Jebamalar Tamilselvi (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206780977 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: 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.

Condición: 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.

Taschenbuch. Condición: 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 Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Taschenbuch. Condición: 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.