Future Research Directions in Computational Intelligence -

Future Research Directions in Computational Intelligence

Selected Papers from the 3rd EAI International Conference on Computational Intelligence and Communication
Buch | Hardcover
XIV, 116 Seiten
2023 | 1st ed. 2024
Springer International Publishing (Verlag)
978-3-031-34458-9 (ISBN)
235,39 inkl. MwSt

This book presents select papers from 3rd EAI International Conference on Computational Intelligence and Communications (CICom 2022). 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 modellings are not the preferred solution, hence alternative solutions are needed. This collection of applications demonstrates the important advances in computational intelligence. The book chapters' present various ideas that will benefit researchers, graduate students and engineers in this domain.

lt;p>Manolo Dulva Hina is currently an Associate Professor at ECE Research Center at ECE Engineering School (ECE Ecole d'Ingénieurs) in Paris, France. He obtained his Ph.D. in Computer Science from the University of Versailles - Paris Saclay in Versailles, France in 2011, and his Ph.D. in Engineering (Applied Research) from Université du Québec, Ecole de technologie supérieure in Montréal, QC, Canada in 2010. He has more than twenty years of teaching experience in Computer Science, and Engineering, having taught in various colleges and universities in the Philippines, Canada, Bahrain, and France. He also served as Dean of the College of Computer Studies in University of Technology Bahrain (formerly AMA International University Bahrain). He has edited several books and published several book chapters in computational intelligence. He has also published several papers in top tier journals, and in international conferences, in which six of his papers won "Best Paper" awards. He was also invited as Keynote Speaker in several international conferences. He serves as Chair of the annual EAI/Springer International Conference on Computational Intelligence and Communication (CICom). His research interests are in the area of computational intelligence, intelligent transportation system, ambient intelligence, human-machine interactions, and formal specifications.

 

Seyedali Mirjalili is a Professor at Torrens University Center for Artificial Intelligence Research and Optimization and is internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of more than 300 publications including five books, 250 journal articles, 20 conference papers, and 30 book chapters. With over 50,000 citations and H-index of 75, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the most cited researcher in Optimization using AI techniques, which is his main area of expertise. Since 2019, he has been in the list of 1% highly-cited researchers and named as one of the most influential researchers in the world by Web of Science. In 2021, The Australian newspaper named him the top researcher in Australia in three fields of Artificial Intelligence, Evolutionary Computation, and Fuzzy Systems. He is a senior member of IEEE and is serving as an editor of leading AI journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Computers in Biology and Medicine, Decision analytics, Healthcare Analytics, Applied Intelligence, and Plos ONE.

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 a Senior Research Fellow at the University of Surrey and Leader Research Developer at the 5G and 6G Innovation Centers. He is a highly accomplished resea

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 XIV, 116 p. 43 illus., 35 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 326 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Ambient Intelligence • Artificial Intelligence • Computational Intelligence • cybersecurity • fault-tolerant system • machine learning
ISBN-10 3-031-34458-8 / 3031344588
ISBN-13 978-3-031-34458-9 / 9783031344589
Zustand Neuware
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