Read more
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.
About the author
Noreddine Gherabi is a professor of computer science with industrial and academic experience. He holds a doctorate degree in computer science. In 2013, he worked as a professor of computer science at Mohamed ben abdellah university and since 2015 has worked as a research professor at Sultan Moulay Slimane University, Morocco. Member of the International Association of Engineers .
Professor Gherabi having several contributions in information systems namely: big data, semantic web, pattern recognition, intelligent systems ....
He several publications in computer science (book chapters, international journals, and conferences/workshops), and edited books
He convened and chaired more than 51 conferences and workshops.
Janusz Kacprzyk, Professor (full time), Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland; 1970 to present. Professor (part time), WIT – Warsaw School of Appied Information Technology and Management, Warsaw, Poland, 1998 - to present. Professor (part time), Industrial Institute of Automation and Measurements (PIAP), Warsaw, Poland, 2007 – to present. Professor (part time), Department of Electrical and Computer Engineering, Cracow University of Technology, Cracow, Poland, 2010 – to present
Chairman of the Provosts’ Council, Department IV of Engineering Sciences, Polish Academy of Sciences: Supervising and evaluating 13 research institutes and 21 national scientific committees in the area of engineering sciences Member, Presidium of the Polish Academy of Sciences Member, Central Testimonial Commission of the Republic of Poland Head of Laboratory of Intelligent Systems, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Sara Arezki is a distinguished Professor of Higher Education and holds the Habilitation to Direct Research (HDR) at the Faculty of Sciences and Techniques, University Hassan Premier in Settat, Morocco. She is an expert in Information Systems Governance and Software Engineering, with a deep commitment to advancing academic excellence through her research, interdisciplinary collaborations, and innovative approaches to digital solution development.
Throughout her career, Dr. Arezki has focused on contributing to knowledge growth in Artificial Intelligence, data science, and systems governance. Her work emphasizes the critical role of digital transformation in modern academia and industry, aiming to inspire and mentor the next generation of leaders in these fields. In addition to her academic pursuits, she is an active member of both the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), further underscoring her engagement in the broader computing and engineering communities.
Summary
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.
