Mathematics and Intelligent Systems in Industry

MISI'25 Conference, Safi, Morocco, July 9–10, 2025

AvIbtissam Medarhri,Raphael Couturier

Inbunden, Engelska, 2026

Del 534 i serien Springer Proceedings in Mathematics & Statistics

2 155 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This volume presents a peer-reviewed selection of papers from the MISI’25 conference, held on July 9–10, 2025, in Safi, Morocco. It showcases recent advances at the intersection of mathematics and intelligent systems, offering solutions to real-world industrial, economic, and environmental challenges.The volume highlights novel methodologies in optimization, data science, machine learning, numerical simulation, and control systems, applied across domains like healthcare, finance, energy, and education. It features case studies, algorithmic frameworks, comparative analyses, and data-driven modeling, supported by figures and tables for clarity and practical relevance. This book provides a comprehensive reference for researchers, practitioners, and graduate students seeking innovative approaches and applied strategies in mathematical and intelligent system applications.

Produktinformation

Utgivningsdatum:2026-05-05
Mått:155 x 235 x 23 mm
Vikt:716 g
Format:Inbunden
Språk:Engelska
Serie:Springer Proceedings in Mathematics & Statistics
Antal sidor:316
Förlag:Springer Nature Switzerland AG
ISBN:9783032170781

Utforska kategorier

Innehållsförteckning

H. El Boudali, S. Lahlou, Z. Farahat, N. Zrira, Bahia El Abdi, A. Benomar, Y. Bouhafra, I. Benmiloud and N. Ngote, 3D Modeling and Printing of a Middle Ear Surgery Simulator: A Case Study on Cholesteatoma.- A. Jraifi, I. Medarhri, and I. El Bouhali, Machine Learning Enhanced Calibration of Stochastic Volatility Jump-Diffusion Models via Tikhonov Regularization.- K. El Haddad, A. Bekkari, W. Bouari and J. Abdelilah, Brain Tumors Prediction and Classication Using Automated Models.- W. El Kadmiri, A. Benghabrit, M. Moufaddal, and A. Nait Sidi Moh, Identifying Key Drivers of Supply Chain Resilience for Modeling Using AI and Hybrid Predictive Models.- I. El Bokamiri, A. Benghabrit, Predictive Modeling of Customer Churn in the Moroccan Telecommunications Sector Using Advanced Machine Learning Algorithms.- I. Elkinani, M. Hosni, T. Masrour, I. Medarhri, Meta-Ensemble Learning for Predicting NASDAQ Stock Movements: An Empirical Study.- P. Manfoumbievouandi; Zineb Farahat; Nabila Zrira; Ibtissam Benmiloud; Bahia El Abdi; Adam Benomar; Hibat Allah Eddaoui; And Nabil Ngote, Reconstruction and Printing Techniques for the Development of an Anatomical Simulator of Lumbar Disc Herniation: A Case Study.- H. Mouncif, A. Kassimi, C. Benhammacht, T. B. Gardelle, H. Tairi, J. Riffi, Industrial Defect Classification Through 2D and 3D Data Integration.- S. Sahbani Abdennebi Hasnaoui; Mustapha Kchikach, Efficiency Analysis and Optimization of a Buck Converter for Electric Vehicle Charging.- M. Ouakarrouch, M. Garoum; N. Laaroussi, M. Lifi, H. Salmi, H. Lifi, and A. Jraifi, Mathematical modeling of the Flash method for determing the thermal diffusivity of materials.- J. Zerhouni; I. El Ouadi, M. Hosni, M. Bakkas, Artificial Intelligence and Internet of Things in Solar Energy: A Systematic literature Review.