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Showing results for tags 'trends'.
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Electric Vehicles: Modern Technologies and Trends by Nil Patel English | EPUB | 2021 | 292 Pages | ISBN : 9811592500 | 45.2 MB This book focuses on the latest emerging technologies in electric vehicles (EV), and their economic and environmental impact. The topics covered include different types of EV such as hybrid electrical vehicle (HEV), battery electrical vehicle (BEV), fuel cell electrical vehicle (FCEV), plug-in hybrid electrical vehicle (PHEV). plug-in hybrid electrical vehicle (PHEV). Theoretical background and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers and practitioners interested in different problems and challenges associated with electric vehicles. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig https://uploadgig.com/file/download/939c2F07ae95919f/46p9f.Electric.Vehicles.Modern.Technologies.and.Trends.rar Rapidgator https://rapidgator.net/file/df75290f068daca5042ba5855738988b/46p9f.Electric.Vehicles.Modern.Technologies.and.Trends.rar.html NitroFlare http://nitroflare.com/view/2BE45B3E578125C/46p9f.Electric.Vehicles.Modern.Technologies.and.Trends.rar
Adversary-Aware Learning Techniques and Trends in Cybersecurity by Prithviraj Dasgupta English | 2021 | ISBN: 3030556913 | 227 Pages | PDF EPUB | 22 MB This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Uploadgig https://uploadgig.com/file/download/49B7B610c08b7aFa/4o3qc.AdversaryAware.Learning.Techniques.and.Trends.in.Cybersecurity.rar Rapidgator https://rapidgator.net/file/dcb14ee5725787b69efc2881aaf38931/4o3qc.AdversaryAware.Learning.Techniques.and.Trends.in.Cybersecurity.rar.html NitroFlare http://nitroflare.com/view/36DE5FD923AF41F/4o3qc.AdversaryAware.Learning.Techniques.and.Trends.in.Cybersecurity.rar
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