Computational Intelligence in Recent Communication Networks

ISBN-13: 9783030771874 / Angielski / Miękka / 2023 / 273 str.

Mariya Ouaissa; Zakaria Boulouard; Mariyam Ouaissa

Opis

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

Spis treści

Chapter 1. An Overview of Blockchain and 5G Networks.- Chapter 2. Deep Learning Approach for Interference Mitigation in FBMC/OQAM-MIMO Systems.- Chapter 3. Deep Learning in Non-Orthogonal Multiple Access for 5G and beyond Networks.- Chapter 4. Traffic Sign Detection: A Comparative Study between CNN and RNN.- Chapter 5. Merging Attack-Defense Tree and Game Theory to Analyze Vehicular Ad-Hoc Network Security.- Chapter 6. A Secure Vehicle to Everything (V2X) Communication Model for Intelligent Transportation System.- Chapter 7. A Novel Unsupervised Learning Method for Intrusion Detection in Software Defined Networks.- Chapter 8. Deep Reinforcement Learning Modeling of a V2V communication-based Bike Avoidance Protocol for Increased Vehicular Flow.- Chapter 9. Deep Learning-based Modeling for Pedestrian Perception and Decision Making in Refuge Island for Autonomous Driving.- Chapter 10. Machine Learning for Hate Speech Detection in Arabic Social Media.- Chapter 11. PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services.- Chapter 12. QSAR anti-HIV Feature Selection and Prediction for Drug Discovery using Genetic Algorithm and Machine Learning Algorithms.- Chapter 13. Mining Electronic Health Records of patient using Linked Data for Ranking Diseases.- Chapter 14. Deep Neural Networks based Delay Driving the Alpha Factors Ranking based Clustering: Exploring the COVID-19 Pandemic’s Impact on the Economy and Markets.- Chapter 15. An Artificial Immune System for the Management of the Emergency Divisions.

O autorze

Dr. Mariya Ouaissa is a Researcher Associate and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for High School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2020. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 20 papers (book chapters, international journals, and conferences/workshops), and a Book entitled “Proceedings of International Conference on Advances in Communication Technology, Computing and Engineering”. She has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as IEEE Access, Wireless Communications and Mobile Computing. She is the General Chair of the ICACTCE’21 Conference.

Dr. Zakaria Boulouard is currently a Professor at Department of Computer Sciences at the “Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco”. In 2018, he joined the “Advanced Smart Systems” Research Team at the “Computer Sciences Laboratory of Mohammedia”. He received his PhD degree in 2018 from “Ibn Zohr University, Morocco” and his Engineering Degree in 2013 from the “National School of Applied Sciences, Khouribga, Morocco”. His research interests include Artificial Intelligence, Big Data Visualization and Analytics, Optimization and Competitive Intelligence. Since 2017, he is a member of “Draa-Tafilalet Foundation of Experts and Researchers”, and since 2020, he is an “ACM Professional Member”. He is General co-Chair of the ICACTCE’21 Conference. He is a co-editor of a Book entitled “Proceedings of International Conference on Advances in Communication Technology, Computing and Engineering”.

Dr. Mariyam Ouaissa is a Ph.D Researcher Associate and Consultant Trainer in Computer Science and Networks from Moulay Ismail University Meknes, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa’s research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of "International Association of Engineers IAENG" and "International Association of Online Engineering", and since 2021, she is an "ACM Professional Member". She is the TPC Chair of the ICACTCE’21 Conference. She is a co-editor of a Book entitled “Proceedings of International Conference on Advances in Communication Technology, Computing and Engineering”.

Dr. Bassma Guermah is a Professor in the Computer Science Engineering School at the International University of Rabat (UIR), and member of TICLab. She obtained her Doctorate in Computer Science and Telecommunications from the National Institute of Posts and Telecommunications (INPT) in 2018. She obtained her Engineer’s degree in Software Engineering from the National Institute of Statistics and Applied Economics (INSEA) in 2014. Her research activities revolve around machine learning /deep learning (artificial intelligence), signal processing, Robotics, context-aware service-oriented computing, ontologies and semantic web.

 

Blurb

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

• Presents Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve communication networks related issues as well as real world applications;
• Provides a focus on how AI/ML can be applied in different layers of communication networks;
• Highlights solutions that help analyze complex patterns in user data and ultimately improve productivity.