Artificial intelligence (AI) and machine learning (ML) are rapidly transforming how complex engineering and environmental challenges are addressed across disciplines. These technologies offer advanced, adaptive, and efficient solutions for nonlinear problems in civil, mechanical, electrical, and environmental engineering, enabling more accurate modeling, prediction, and optimization. The integration of these approaches reflects a growing interdisciplinary shift, where digital intelligence supports both technological advancement and ecological responsibility. As global priorities align toward innovation and sustainability, leveraging AI across engineering fields has the potential to shape smarter societies.
AI-Based Solutions for Engineering explores the applications and novel solutions of engineering problems by using AI and its methodologies. It realizes the solutions for different engineering problems with the contribution of AI technology. Covering topics such action classification, edge devices, and wastewater treatment, this book is an excellent resource for developers, engineers, policymakers, researchers, academicians, and more.