Proceedings of the Third ICMDS'24: Machine Learning, Inverse Problems and Related Fields
Author:   Amine Laghrib ,  Abdelghani Ghazdali
Publisher:   Springer International Publishing AG
Volume:   1466
ISBN:  

9783031948015


Pages:   250
Publication Date:   12 June 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Our Price $475.17 Quantity:  
Add to Cart

Share |

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


Add your own review!

Overview

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.

Full Product Details

Author:   Amine Laghrib ,  Abdelghani Ghazdali
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   1466
ISBN:  

9783031948015


ISBN 10:   3031948017
Pages:   250
Publication Date:   12 June 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

RGJUNE2025

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now