Computational Intelligence in Recent Communication Networks - Rilegato

Rilegato

ISBN 10: 3030771849 ISBN 13: 9783030771843

Casa editrice: Springer Nature, 2022

Riassunto

<p>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.<b></b></p>

Su questo libro

Informazioni sull?autore

<p><b>Dr. Mariya Ouaissa </b>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. </p><p><b>Dr. Zakaria Boulouard</b> 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”.<b></b></p><p><b>Dr. Mariyam Ouaissa </b>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”.<br></p><p><b>Dr. Bassma Guermah</b> 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.</p><p><b>&nbsp;</b></p><br>

Dalla quarta di copertina

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

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2022
• ISBN 10: 3030771849
• ISBN 13: 9783030771843
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 288
• Redattore: Ouaissa Mariya, Boulouard Zakaria, Ouaissa Mariyam, Guermah Bassma
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com