Multi-Strategy Learning Environment

This book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2025), held at Graphic Era Hill University, Dehradun, India, during 2627 February 2025. 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.

Presents recent innovative research in multi-strategy learning environment Discusses the outcomes of ICMSLE 2025 Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext
Dr. Vrince Vimal is qualified with a Ph.D. (communication systems) I.I.T. Roorkee, backed by M.Tech. (electronics and communications) and B.E. (electronics and 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 towards learning in students. He is Innovative Conceptualist with a sharp eye for fresh approaches and details; He has expert layout skills with a flair for analyzing functionalities and harmonizing the art with the environment with a strong sense of aesthetics. Overall, Dr. Vimal is an academics-oriented, competent, and highly organized individual committed to professional development and continual knowledge acquisition. He is Member IEEE and 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. Hamed Taherdoost is Award-Winning Leader and Research and Development Professional. He is Founder of Hamta Group Hamta Business Solution and Associate Professor and Chair of Research and Scholarly Activities Committee at University Canada West. He has over 20 years of experience in both industry and academic sectors. Hamed has been Active Multidisciplinary Researcher and R&D Specialist involved in several academic and industrial research projects. He has been working with researchers from various disciplines and has been actively engaged in different research studies. His views on science and technology have been published in top-ranked scientific publishers such as Elsevier, Springer, Emerald, IEEE, IGI Global, Inderscience, Taylor and Francis, and Dr. Hamed has published over 200 scientific articles in authentic peer-reviewed international journals and conference proceedings, 17 book chapters as well as 12 books in the field of technology and research methodology.

Inhalt

Enhancing Fake News Detection: A Conceptual Framework Integrating Transformer-Based Models with Multimodal Deep Learning.- Proposed Image Preprocessing Techniques for Enhanced Disease Detection in Tea Leaves.- Effective delineation of tumor from MRI using enhanced Flower Pollination Optimization Algorithm.-DDOS Attack Detection and Prevention Based on THC-SSL-DOS and Weka Machine Learning Tool.- LangBridge: A Framework for Indian Regional Language to English Translation.-AN AUTOMATED CLASSIFICATION SYSTEM FOR DEPRESSION DETECTION USING TEXT AND AUDIO ANALYSIS WITH MACHINE LEARNING.-Intelligent File Analysis and Protection System with AI-Driven Access Control and Multilayered Security.- ML-Based Systems for Identifying Hate Memes In Social Media.- Etc.