Full Description
This book presents innovative approaches in artificial intelligence, security, and networking, emphasizing their convergence with big data and practical applications. Contributions from leading researchers and practitioners showcase novel methodologies, case studies, and solutions that address key technological challenges while fostering intelligent, secure, and connected systems.
The proceedings are organized into four sections: AI applications, security in digital systems, advances in networking, and industrial case studies, offering a coherent and multidisciplinary perspective. With a rigorous peer-review process, the collection delivers high-quality content that balances academic depth with real-world relevance. Designed for researchers, graduate students, and industry professionals, it serves as a valuable reference to inspire innovation, support practical implementation, and guide the development of next-generation secure infrastructures.
Contents
A hybrid approach Based on K-Nearest Neighbors Machine Learning and Genetic Algorithm for a Logistic Chain Problem.- A predictive approach based on Artificial Neural Networks for Supply Chain Optimization.- AI in Software Testing: The Asynchronous Evolution of Research and Industry Adoption.- An analytical investigation of network topologies within federated learning architectures.
