
Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
- 386 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
About this book
This new book brings together the most recent trends related to AI, machine learning, and network security. The chapters cover diverse topics on machine learning algorithms and security analytics, AI and machine learning, and ntework security applications. The volume presents a survey of speculative parallelism techniques, performance reviews, and efficient power consumption. The book also covers the concepts of IoT, security early detection for COVID-19, multimetric geoprahpical routing in VANETs, V2X communication in VANET, and optimization of congestion control scheme for VANETs.
This book is a comprehensive take on recent applications and advancement in the field of computer science and will be of value to scientists, researchers, faculty, and students involved in research in the area of AI, machine learning, and network security.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- AAP Research Notes on Optimization and Decision-Making Theories
- About the Editors
- Contents
- Contributors
- Abbreviations
- Preface
- Part I: Machine Learning Algorithms in Security Analytics
- Part II: AI and Machine Learning
- Part III: Network Security Applications
- Index