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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.
Sommario
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.
