Description: Convergence of Deep Learning in Cyber-iot Systems and Security, Hardcover by Chakraborty, Rajdeep (EDT); Ghosh, Anupam (EDT); Mandal, Jyotsna Kumar (EDT); Balamurugan, S. (EDT), ISBN 111985721X, ISBN-13 9781119857211, Like New Used, Free shipping in the US This book provides innovative solutions and implementation on deep learning-based models in Cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II: presents many innovative solutions, algorithms, models and implementation based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical system as well as the a discussion on the security and threats in cyber-physical system with probable solutions.
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Book Title: Convergence of Deep Learning in Cyber-iot Systems and Security
Number of Pages: 480 Pages
Language: English
Publication Name: Convergence of Deep Learning in Cyber-Iot Systems and Security
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2022
Item Height: 1.1 in
Subject: Intelligence (Ai) & Semantics
Item Weight: 32.1 Oz
Type: Textbook
Item Length: 9 in
Subject Area: Computers
Author: Anupam Ghosh
Item Width: 6 in
Series: Artificial Intelligence and Soft Computing for Industrial Transformation Ser.
Format: Hardcover
