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Biographie et livres de Rajesh Kumar Dhanaraj

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Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing).
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Téléchargez le livre : Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0
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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

Rajesh Kumar Dhanaraj , Lalitha Krishnasamy , Mariya Ouaissa , Dragan Pamucar

Springer

2025-09-26

PDF, ePub

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how distributed deep learning methodologies can be...

179,34 €

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Ebooks de Rajesh Kumar Dhanaraj en PDF et EPUB

2 Livre(s)
Télécharger le livre : Homomorphic Encryption for Financial Cryptography
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Homomorphic Encryption for Financial Cryptography
Rajesh Kumar Dhanaraj , Mariya Ouaissa , V. Seethalakshmi , S. Suganyadevi
This book offers insights on efficient utilization of homomorphic encryption (HE) for financial cryptography in confidentiality, phishing, anonymity, object and user identity protection. Homomorphic encryption has the potential to be a game-changer for the industry and...

Editeur : Springer
Parution : 2023-08-01

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179,34 €
Télécharger le livre : AI-Powered IoT in the Energy Industry
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AI-Powered IoT in the Energy Industry
Savita . , Balamurugan Balusamy , Rajesh Kumar Dhanaraj , S. Vijayalakshmi
AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy...

Editeur : Springer
Parution : 2023-04-05

PDF, ePub

189,89 €