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Multi-Strategy Learning Environment

Proceedings of ICMSLE 2024

  • Conference proceedings
  • Jun 2024

Overview

  • Presents recent innovative research in multi-strategy learning environment
  • Discusses the outcomes of ICMSLE 2024
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

Included in the following conference series:

Conference proceedings info: ICMSLE 2024.

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Keywords

  • Machine Learning Techniques
  • Game Theory and Learning
  • Computer Vision
  • Natural Language Processing
  • Probabilistic Graphical Models and Learning
  • ICMSLE 2024 Proceedings

About this book

The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.

Editors and Affiliations

  • Graphic Era Hill University, Dehradun, India

    Vrince Vimal

  • Department of Computer Engineering and Informatics, University of Patras, Patra, Greece

    Isidoros Perikos

  • University of South Bohemia, České Budějovice, Czech Republic

    Amrit Mukherjee

  • Department of Computer Science, Universita' degli Studi di Milano, Crema, Italy

    Vincenzo Piuri

About the editors

Dr. Vrince Vimal is qualified with a Ph.D. (Communication Systems) IIT Roorkee, backed by M.Tech. (Electronics & Communications) and B.E. (Electronics & Telecommunications with the distinction of clearing GATE and innovative experience of 16+ years across Education/Research. He has published 19 Indian national patents, 7 S.C.I. articles, and SCOPUS-indexed articles with a total of 17 publications. He has an experimental attitude toward teaching methodologies, including curriculum design and development of student-centered, congenial learning techniques to instill enthusiasm toward learning in students. He is an innovative conceptualist with a sharp eye for fresh approaches and details. Overall, he is an academics-oriented, competent, and highly organized individual committed to professional development and continual knowledge acquisition. His critical competencies in structuring and implementing innovative administrative policies/procedures generate undivided commitment and dedication among the team members. He is Member IEEE, Life Member IAENG.

Dr. Isidoros Perikos completed his Ph.D. in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras, Greece (2016), and M.Sc. in Computer Science and Technology, Computer Engineering and Informatics Department at University of Patras (2010). He has completed an Engineering Diploma (5-year program, M.Eng.) in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras (2008). His research interests include Semantic Web and Ontology Engineering, Web Intelligence, Natural Language Processing and Understanding, Human Computer Interaction and Affective Computing Robotics. He has published in national and international journals and conferences.

Dr. Amrit Mukherjee obtained a Ph.D. from KIIT University, India. He is currently working in the Department of Computer Science, Faculty of Science, the University of SouthBohemia in Ceske Budejovice, Branisovska 1760, Ceske Budejovice, Czech Republic. He was Post-doc Research Fellow in the School of Computer Science and Communication Engineering, Jiangsu University, PR China. Also, he has been Reviewer in many IEEE journals and other prestigious conferences. He also served as Special Issue Guest Editor for IEEE Internet of Things Journal, Computer Communications; Multimedia Tool and Applications; Journal of System Architecture; Computers, Material and Continua; Frontiers in Physics, Sustainability. He is also Associate Editor in International Journal of Interactive Multimedia and Artificial Intelligence and Academic Editor in Wireless Communications and Mobile Computing and several other reputed journals. His interests include Artificial Intelligence, Next-Generation IoT Systems, Wireless Sensor Networks, Cognitive Radio, and Signal Processing.

Prof. Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy, Visiting Professor at the University of Texas at Austin, USA, and Visiting Researcher at George Mason University, USA. His main research interests are artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and Internet of things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS.

Bibliographic Information

  • Book Title: Multi-Strategy Learning Environment

  • Book Subtitle: Proceedings of ICMSLE 2024

  • Editors: Vrince Vimal, Isidoros Perikos, Amrit Mukherjee, Vincenzo Piuri

  • Series Title: Algorithms for Intelligent Systems

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Hardcover ISBN: 978-981-97-1487-2Due: 27 June 2024

  • Softcover ISBN: 978-981-97-1490-2Due: 27 June 2024

  • eBook ISBN: 978-981-97-1488-9Due: 27 June 2024

  • Series ISSN: 2524-7565

  • Series E-ISSN: 2524-7573

  • Edition Number: 1

  • Number of Pages: X, 730

  • Number of Illustrations: 44 b/w illustrations, 228 illustrations in colour

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