Mohamed Lazaar – författare

This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing.

This book is a collection of papers that were presented at the 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022. The conference took place on October 25-27, 2022, Tangier, Morocco. The book consisted of 49 chapters, which correspond to the four major areas that are covered during the conference, namely Big Data & Cloud Computing, Cybersecurity, Machine Learning, Deep Learning, E-Learning, Internet of Things, Information System and Natural Language Processing. Every year BDIoT attracted researchers from all over the world, and this year was not an exception – the authors received 98 submissions from 7 countries. More importantly, there were participants from many countries, which indicates that the conference is truly gaining more and more international recognition as it brought together a vast number of specialists who represented the aforementioned fields and share information about their newest projects. Since the authors strived to make the conference presentations and proceedings of the highest quality possible, the authors only accepted papers that presented the results of various investigations directed to the discovery of new scientific knowledge in the area of Big Data, IoT and their applications. All the papers were reviewed and selected by the Program Committee, which comprised 96 reviewers from over 58 academic institutions. As usual, each submission was reviewed following a double process by at least two reviewers. When necessary, some of the papers were reviewed by three or four reviewers. Authors’ deepest thanks and appreciation go to all the reviewers for devoting their precious time to produce truly through reviews and feedback to the authors.

This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology.

The main objective of this book is to explore the synergy between cutting-edge AI technologies and environmentally conscious practices through collecting best selected research papers presented at the International Conference on Artificial Intelligence and Green Computing (ICAIGC 2023), which took place from March 15 to 17, 2023, in Beni Mellal, Morocco.Within the pages of this book, readers find a wealth of research findings, survey works, and practical experiences aimed at fostering a comprehensive understanding of the pivotal role AI plays in various fields, including agriculture, health care, IT, and more. It highlights both the opportunities presented by the widespread usage of AI and the challenges associated with its continued advancement. As a result, the book has been divided into three parts: 1)- AI for multimedia processing, 2)- AI for distributed computing, and 3)- AI applications.The book serves as a comprehensive resource that brings together on-goingresearch and practical experiences from the ICAIGC 2023 conference. It strives to deepen the understanding of the essential role AI plays in multiple fields. Whether you are an AI enthusiast, researcher, or practitioner, the insights contained within these pages expand your horizons and inspire further exploration of AI's potential in shaping a greener and more technologically advanced future.

This book covers the theory, applications, and viewpoints on the most recent and upcoming advancements in the fields of complex processes, decision-making, control, and systems and networks. In the well-known lecture notes in networks and systems series, "Smart Business and Technologies" is the most recent entry. The cutting-edge research presented at the International Conference on Smart Business and technology (ICSBT'24) is compiled in this volume, which highlights creative solutions, new developments, and useful applications in the domains of advanced technology and smart business practices. For scholars, professionals, and students hoping to remain on the cutting edge of business innovation and technology breakthroughs, it is a vital resource. Numerous topics, including cyber-physical systems, artificial intelligence, data analytics, IoT-enabled solutions, autonomous systems, control systems, sustainable business models, digital transformation strategies, blockchain applications, smart supply chain management, customer experience optimization, predictive analytics, energy systems, robotics, smart cities, manufacturing, and more, are covered in the series' proceedings and edited volumes on systems and networks. These subjects provide insights into the methods and paradigms that propel advancement in smart business and technology sectors. They are enmeshed in interdisciplinary fields such as applied sciences, engineering, computer science, business, economics, and social sciences.

This book brings together 48 cutting-edge contributions from researchers in Morocco and around the world, offering a panoramic view of today’s most impactful AI innovations in health. From deep learning for drug discovery and machine learning models for kidney disease and antimicrobial resistance, to NLP-driven medical coding and IoT-enabled patient monitoring, this book covers the full spectrum of contemporary applications. Beyond technical advances—such as radiomics, medical image analysis, and smart hospital systems—the book also explores critical human and organizational dimensions, including medical education, patient communication, and hospital management. Rigorous yet accessible, this book is an essential resource for researchers, clinicians, and students seeking to understand and apply AI at the forefront of health sciences.

This book brings together 48 cutting-edge contributions from researchers in Morocco and around the world, offering a panoramic view of today’s most impactful AI innovations in health. From deep learning for drug discovery and machine learning models for kidney disease and antimicrobial resistance, to NLP-driven medical coding and IoT-enabled patient monitoring, this book covers the full spectrum of contemporary applications. Beyond technical advances—such as radiomics, medical image analysis, and smart hospital systems—the book also explores critical human and organizational dimensions, including medical education, patient communication, and hospital management. Rigorous yet accessible, this book is an essential resource for researchers, clinicians, and students seeking to understand and apply AI at the forefront of health sciences.