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Proceedings of the third ICMDS'24 = ...

International Conference on Mathematical and Computational Sciences (2024 :)

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Proceedings of the third ICMDS'24 = machine learning, inverse problems and related fields /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the third ICMDS'24/ edited by Amine Laghrib, Abdelghani Ghazdali.
Reminder of title:	machine learning, inverse problems and related fields /
remainder title:	ICMDS 2024
other author:	Laghrib, Amine.
corporate name:	International Conference on Mathematical and Computational Sciences
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	ix, 250 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-94802-2
ISBN:	9783031948022

Proceedings of the third ICMDS'24 = machine learning, inverse problems and related fields /
Proceedings of the third ICMDS'24machine learning, inverse problems and related fields /[electronic resource] :ICMDS 2024edited by Amine Laghrib, Abdelghani Ghazdali. - Cham :Springer Nature Switzerland :2025. - ix, 250 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,14662367-3389 ;. - Lecture notes in networks and systems ;1466..

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.

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.

ISBN: 9783031948022

Standard No.: 10.1007/978-3-031-94802-2doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Proceedings of the third ICMDS'24 = machine learning, inverse problems and related fields /
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520 $a 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.
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