This book offers a comprehensive exploration of how artificial intelligence and digital technologies are revolutionizing key industries. From optimizing supply chain logistics and enhancing educational frameworks to advancing sustainable energy solutions and predictive maintenance strategies, this book provides invaluable insights into the future of industry and academia. Divided into five thematic sections, the book covers cutting-edge research and practical applications in AI-powered supply chains, digital transformation in education and industry, sustainable energy systems, and advanced maintenance techniques. Each chapter delves into innovative methodologies and real-world case studies, offering readers a roadmap to navigate the challenges and opportunities of the digital age. Whether you're a researcher, engineer, or industry professional, AI and Digital Transformation: Innovations in Supply Chain, Education, and Energy Systems equips you with the knowledge and tools to harness the power of AI and digital technologies for a sustainable and efficient future. This book is your guide to staying ahead in a rapidly evolving technological landscape.
Section I: AI in Supply Chain and Logistics.-
1. A Comparative Study of
HBOS and Isolation Forest Anomaly Detection Models: An Experimental
Analysis.-
2. Recurrent Neural Models for Retail Supply Chain Stock Prices
Forecasting.-
3. The Trend of Integration of Artificial Intelligence in
Supply Chain: A Bibliometric Review.-
4. Artificial Intelligence Approach for
Enhancing Vehicle Routing Problem Solutions Integrating Smart Lockers for
Dynamic Delivery and Pickup Operations.-
5. Understanding Customer
Experiences in the Logistics Sector: Insights from Individual Cargo
Companies.- Section II: Digital Transformation in Education and Industry.-
6.
Towards a Pedagogical Revolution: Intelligent Learning Systems in the Service
of Higher Education.-
7. Preparing for Industry 5.0: Inclusive Curricular
Approaches and Digital Empowerment.-
8. Production Leveling Implementation
Methodologies: Comparison and Review.-
9. Enhancing Candidate Evaluation in
Recruitment Interviews Based on ResNeXt-101 for Facial Expression Recognition
Section III: AI and Machine Learning Applications.-
10. Bayesian Deep
Learning for Multi-Disease Detection in Retinal Imaging with Uncertainty
Quantification.
Brahim EL BHIRI is a professor of Telecommunication and embedded systems at the Moroccan School of Engineering Sciences (EMSI: Ecole Marocaine des Sciences de lIngenieur). He is the director of R&D&I at the same school and the head of SMARTiLab Laboratory of research, development and Innovation. He has over 12 years of experience in the field of electronics, wireless sensor networks, data processing and embedded system. He has published more than thirty papers in international scientific journals and International conferences. He is author of 5 books and 22 book chapters, published by leading international publisher like Springer He has received a number of awards, one of them a best paper award from Italy at the seventh SENSORCOMM2013 International Conference. In addition, he is a co-editor of three SI published by very known publisher. Pr. Brahim EL BHIRI is a reviewer at more than five scientific journals and researcher and deputy project manager of several projects and he is a member of several TPC for lot of national and international conferences. He received more than twenty special prices in innovation from all regions of the word for his innovative projects. Indeed, he received a gold medals in ISIF2019 (Istanbul, Turkey), in INTARG (Katowice, Poland), GENOVA( Geneva Switzerland), iCAN2019-2022 (Toronto, Canada), ITE2019-2022 ( London, England), SVLI (silicon Valley, USA).
