Lecture Notes in Networks and Systems

This book serves as a comprehensive reference, providing cutting-edge knowledge on intelligent systems and digital applications. It covers theoretical foundations and significant issues in machine learning, deep learning, and data analytics. Each chapter concludes with a detailed bibliography for further in-depth reading.Divided into two sections-Foundations and Applications-the book offers a complete source of information on its theme. The chapters include concepts, algorithms, figures, graphs, and tables to enhance readability. The target audience includes researchers, practitioners, and postgraduate and graduate students developing or utilizing artificial intelligence algorithms in various applications.