Mohamed Hosni – författare

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications.Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization.A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice.Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications.Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors.

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.