Noreddine Gherabi – författare

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.

This book gathers the proceedings of the International Conference on Information, Communication and Cybersecurity, held on November 10–11, 2021, in Khouribga, Morocco. The conference was jointly coorganized by The National School of Applied Sciences of Sultan Moulay Slimane University, Morocco, and Charles Darwin University, Australia. This book provides an opportunity to account for state-of-the-art works, future trends impacting information technology, communications, and cybersecurity, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners.ICI2C 2021 was devoted to advances in smart information technologies, communication, and cybersecurity. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 159 paper submissions from 24 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 54 regular papers (34\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!

This book gathers the proceedings of the International Conference on Information, Communication and Cybersecurity, held on November 10–11, 2021, in Khouribga, Morocco. The conference was jointly coorganized by The National School of Applied Sciences of Sultan Moulay Slimane University, Morocco, and Charles Darwin University, Australia. This book provides an opportunity to account for state-of-the-art works, future trends impacting information technology, communications, and cybersecurity, focusing on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner. This book is helpful for students and researchers as well as practitioners.ICI2C 2021 was devoted to advances in smart information technologies, communication, and cybersecurity. It was considered a meeting point for researchers and practitioners to implement advanced information technologies into various industries. There were 159 paper submissions from 24 countries. Each submission was reviewed by at least three chairs or PC members. We accepted 54 regular papers (34\%). Unfortunately, due to limitations of conference topics and edited volumes, the Program Committee was forced to reject some interesting papers, which did not satisfy these topics or publisher requirements. We would like to thank all authors and reviewers for their work and valuable contributions. The friendly and welcoming attitude of conference supporters and contributors made this event a success!

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.

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.

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.

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.

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.

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.