Applied Machine Learning for Engineering and Technology

Machine learning techniques have found extensive applications in engineering and technology, enabling predictive analytics, pattern recognition, and autonomous decision-making. From predictive maintenance in manufacturing plants to image recognition in medical diagnostics, applied machine learning is enhancing efficiency, accuracy, and innovation across diverse domains. This book demonstrates the practical application of machine learning algorithms and techniques in various engineering and technological domains.

Print ISBN: 9781682519776 | $165 | 2024 | Hardcover

Subject: Engineering and Technology

Editor: Naoum Chamania

About the Editor: Naoum Chamania received his PhD in Artificial Intelligence. He is serving as Assistant Professor in the Department of Computer Engineering. He is leading many research and development projects associated with universities and the government and holds many consultancy activities for government organizations. He has five IPRs and a patent in the field of machine learning. His research area includes machine intelligence algorithms and nature-inspired computing. He is a widely cited author and the recipient of several national engineering awards.