Artificial Intelligence and Deep Learning for Computer Network

This comprehensive resource explores the intersection of AI, ML, and deep learning with computer networks and cybersecurity, making it essential for researchers and practitioners.

This reference text aims to systematically compile quality research that encompasses AI, ML, and Deep Learning applications across various sub-topics within computer networks, communications, and security. By bringing together these diverse fields under one cover, it seeks to provide a comprehensive resource for understanding the theoretical similarities and practical applications of these technologies.

Artificial Intelligence and Deep Learning for Computer Network not only highlights the latest advancements in these areas but also offers insights into their applicability. This is particularly valuable, as many existing texts often overlook the connections between these theoretical concepts. The book features a collection of important and cutting-edge topics, making it an essential resource for anyone interested in the intersection of AI and computer networks.

The book includes several chapters dedicated to cybersecurity, a rapidly evolving research domain. It presents recent findings from leading researchers, along with pointers to future advancements in methodology. Additionally, detailed experimental results derived from standard data sets are provided, enhancing the practical understanding of these technologies. This makes Artificial Intelligence and Deep Learning for Computer Network an invaluable resource for students, researchers, and practitioners eager to explore the application of advanced AI, ML, and DL techniques in network management and cybersecurity.