Name: Sustainable Development Using Private ai: Security Models and Applications (Artificial Intelligence for Sustainable Engineering and Management) (en Inglés)
SKU: 56110168
Price: 116.63 USD
Availability: InStock
Author: Maheswari V. Uma,Aluvalu Rajanikanth

portada Sustainable Development Using Private ai: Security Models and Applications (Artificial Intelligence for Sustainable Engineering and Management) (en Inglés)

Sustainable Development Using Private ai: Security Models and Applications (Artificial Intelligence for Sustainable Engineering and Management) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Maheswari V. Uma,Aluvalu Rajanikanth

Idioma

Inglés

N° páginas

352

Encuadernación

Tapa Dura

ISBN13

9781032716725

N° edición

Sustainable Development Using Private ai: Security Models and Applications (Artificial Intelligence for Sustainable Engineering and Management) (en Inglés)

Maheswari V. Uma,Aluvalu Rajanikanth (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Sustainable Development Using Private ai: Security Models and Applications (Artificial Intelligence for Sustainable Engineering and Management) (en Inglés)"

This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision.Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer's data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms.The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.