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

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

Buch | Softcover
IX, 250 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-94801-5 (ISBN)
CHF 239,65 inkl. MwSt
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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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo IX, 250 p. 73 illus., 64 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Approximation Theory and algorithmic • Computational Intelligence • Computer Vision and Pattern Recognition • Deep Learning Applications • Deep Learning Models and Architectures • Imaging Reconstruction Techniques • Inverse Problems and Computational Imaging • Learning theory • machine learning • Mathematical Formulation and Analysis of Inverse Problems • Natural Language Processing and Text Mining • PDE and Deep Learning • Reinforcement Learning and Autonomous Systems • Statistical Analysis and Data Mining for Machine Learning
ISBN-10 3-031-94801-7 / 3031948017
ISBN-13 978-3-031-94801-5 / 9783031948015
Zustand Neuware
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