Advances in Computational Intelligence and Communication -

Advances in Computational Intelligence and Communication

Selected Papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021)
Buch | Softcover
X, 138 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-19525-9 (ISBN)
171,19 inkl. MwSt

This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain.

Manolo Dulva Hina is an Associate Professor in Computer Science in ECE Paris School of Engineering. He is an accomplished educator and researcher. He previously taught in Concordia University, and Vanier College in Canada.; AMA International University and Bahrain Polytechnic in Bahrain; and in University of Versailles, and recently in ECE Paris School of Engineering in France. He was also the Dean of the College of Computer Studies of AMA International University - Bahrain when its Computer Science programme was first accredited by ABET (Accreditation Board for Engineering and Technology). He has supervised several Master and Ph.D. theses. He has also authored several book chapters, journal papers and international conference papers, some of which were adjudged "Best Paper" of such conferences. He recently edited a book on computational intelligence published by EAI/Springer. He previously worked in two international projects, namely "CASA (Car Safety App)" involving several French and German industrial companies, and "European Union Lifelong Programme: Future Education and Training in Computing" in formulating the European framework in computing education and training in which he collaborated with several academicians representing 32 European countries.

 

Amar Ramdane-Cherif received his Ph.D. degree from Pierre and Marie Curie University in Paris in 1998. In 2007, he obtained his HDR degree from Versailles University. From 2000 to 2007 he was associate professor at university of Versailles and worked in PRISM Laboratory. Since 2008, he is Full Professor at University of Versailles which belong to the Paris Saclay university and he works in LISV laboratory. His research interests include ambient intelligence, semantic representation of knowledge, modelling of the ambient environment, multimodal interaction between person-machine and machine-environment, system of fusion and fission of events, ambient assistance, software architecture, software quality, quality evaluation methods, functional and non-functional measurement of real-time, reactive and software embedded systems. He wrote 7 book chapters, 50 international journals and about 200 international conferences. He supervised 20 doctoral PhD thesis and reviewed 30 PhD theses. He managed several projects and made several national and intentional collaboration. Actually, he is member in the council board of the graduate school of computer science of the university of Paris Saclay.

 

Rafik Zitouni is currently a Senior Research Fellow with the Electrical and Electronic Engineering Department, Institute for Communication Systems of University of Surrey, U.K. He is also a member of the 5G and 6G Innovation Centers (5GIC&6GIC), where he is working on architecture and protocols of 5G&6G networks. From 2015 to 2021, he was a lecturer with ECE Paris Graduate School of Engineering in France. He was also a research associate at VEDECOM institute from 2016 to 2018, Versailles, France. He received his Ph.D. degrees in computer science from University of Paris-Est in 2015 and his M.Sc. in 2011 from University of Paris 12. Before, he obtained his Engineer and Magister degrees in computer science from universities of Setif and Bejaia, Algeria in 2004 and 2007, respectively. His research interests span areas of wireless networks, software and cognitive radios with digital signal processing and software design as a background. Application fields of his research are Internet of Things (IoT), V2X communications and Cyber security.

 

Assia Soukane is an associate professor and the director of research at ECE Paris School of Engineering, Paris, France. She is also the head of the "Intelligent Communicating Systems" research axis at ECE Paris where the focus is on vehicle of the future. Her research exposure started with a DEA followed by a thesis, both done at the DAVID Laboratory of the University of Versailles, France. Her resear

Introduction.- Perception Enhancement of a Vehicle in a Bad Weather Environment.- Adaptive Backstepping-RBF Control of Lower Limb Exoskeleton.- Advances in Coyote Optimization Algorithm.- Efficient Big Data Architecture Based on Micro Service.- K Semantics for Security Policy Enforcement on Android Applications with Practical Cases.- On the Performance of MIMO Vehicular Visible Light Communications.- An Evaluation Framework for Blockchain-based Public Key Infrastructures.- Intelligent Target Cell Selection Algorithm for Low Latency 5G Networks.- Conclusion.

Erscheinungsdatum
Reihe/Serie EAI/Springer Innovations in Communication and Computing
Zusatzinfo X, 138 p. 29 illus., 23 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 237 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Nachrichtentechnik
Schlagworte Ambient Intelligence • Artificial Intelligence • Computational Intelligence • cybersecurity • fault-tolerant system • machine learning
ISBN-10 3-031-19525-6 / 3031195256
ISBN-13 978-3-031-19525-9 / 9783031195259
Zustand Neuware
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