Proceedings of the Third ICMDS'24: Machine Learning, Inverse Problems and Related Fields

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging artificial intelligence, optimization techniques, and high-performance computing, it addresses complex challenges across various scientific and industrial domains. The contributions featured in this book encompass theoretical advancements and practical applications, highlighting diverse topics such as data-driven approaches, uncertainty quantification, and algorithmic innovations. This interdisciplinary collection is designed for researchers, practitioners, and students interested in the transformative potential of informatics and computational sciences. By presenting meticulously reviewed papers from the Third International Conference on Mathematical and Computational Sciences (ICMDS 2024), this issue serves as a valuable resource for fostering further research and development, inspiring new approaches to solving pressing problems through advanced computational methods.

Table des matières

HMM-GMM Acoustic Modeling for Arabic Speech Recognition System.- Machine Learning Prediction of Long Jump Performance Based on Biomechanical Factors.- Arabic Sign Language Classification using CNN-LSTM Integration for Enhanced Gesture Recognition.- Data Exploration by Unifying Clustering and Association Rule mining.

Résumé

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging artificial intelligence, optimization techniques, and high-performance computing, it addresses complex challenges across various scientific and industrial domains. The contributions featured in this book encompass theoretical advancements and practical applications, highlighting diverse topics such as data-driven approaches, uncertainty quantification, and algorithmic innovations. This interdisciplinary collection is designed for researchers, practitioners, and students interested in the transformative potential of informatics and computational sciences. By presenting meticulously reviewed papers from the Third International Conference on Mathematical and Computational Sciences (ICMDS 2024), this issue serves as a valuable resource for fostering further research and development, inspiring new approaches to solving pressing problems through advanced computational methods.

Détails du produit

• Collaboration: Ghazdali (Editeur), Abdelghani Ghazdali (Editeur), Amine Laghrib (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 05.07.2025
• EAN: 9783031948015
• ISBN: 978-3-0-3194801-5
• Pages: 250
• Dimensions: 155 mm x 14 mm x 235 mm
• Poids: 400 g
• Illustrations: IX, 250 p. 73 illus., 64 illus. in color.
• Thème: Lecture Notes in Networks and Systems
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires; machine learning, Maschinelles Lernen, Datenbanken, Data Engineering, Computational Intelligence, learning theory, Deep learning applications, COMPUTER VISION AND PATTERN RECOGNITION, Approximation Theory and algorithmic, Reinforcement Learning and Autonomous Systems, Deep Learning Models and Architectures, Natural Language Processing and Text Mining, PDE and Deep Learning, Inverse Problems and Computational Imaging, Imaging Reconstruction Techniques, Mathematical Formulation and Analysis of Inverse Problems, Statistical Analysis and Data Mining for Machine Learning