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Advanced Computer Science Applications

Recent Trends in AI, Machine Learning, and Network Security

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.

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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.

Detaljer

Forlag
Apple Academic Press Inc.
Innbinding
Innbundet
Språk
Engelsk
Sider
386
ISBN
9781774912393
Utgivelsesår
2023
Format
23 x 16 cm

Om forfatteren

Karan Singh, PhD, is Assistant Professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University, New Delhi, India. His areas of interest include multicast communications, information security, cryptography, security issues in wireless sensor networks, intelligent vehicular networks, Internet of Things, and cyber-physical systems. He has published many journal articles and conference papers. He has also attended many international conferences and workshops and has delivered invited talks and lectures.

Latha Banda, PhD, is Associate Professor of Computer Sciences and Engineering at ABES Engineering College, Ghaziabad, India. She was previously an Associate Professor at Sharda University and Lingaya’s University, India. Her areas of interest include artificial intelligence, recommender systems, machine learning, network security, and soft computing. She has published several journal articles and conference papers and has attended and participated at international conferences and workshops.

Manisha Manjul, PhD, is working with the Department of Computer Engineering at G. B. Pant DESU Okhla-I Campus, New Delhi, India. She has published several papers in Scopus-indexed journals as well as several conference papers. She organizes workshops, conferences, and faculty development programs. Her primary research interests are in computer network, network security, multicast communication, and object-oriented programming.

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