Prediction and Optimization in Engineering

This book presents recent advances in artificial intelligence, machine learning, and data-driven computational methods applied across engineering and applied science disciplines. The contributions included herein reflect both theoretical developments and practical implementations, ranging from structural engineering and geotechnics to energy systems, transportation, computer vision, and industrial optimization. This book is organized into thematic sections to provide a coherent structure that guides the reader from foundational methodologies to advanced applications. Each chapter has undergone peer review to ensure scientific quality, methodological rigor, and relevance to current research challenges. The editors gratefully acknowledge the contributions of all authors and reviewers whose efforts have made this book possible. We also extend our appreciation to the publishing team for their continuous support throughout the preparation process.