Publisher's Synopsis
The aerospace industry evolves with the integration of machine learning (ML) applications. From optimizing flight operations and predictive maintenance to advancing autonomous navigation and air traffic management, ML enables efficiency, safety, and performance. As aerospace systems grow more complex, ML offers the ability to analyze data in real-time, uncover hidden patterns, and support intelligent decision-making. This emerging collaboration between aerospace engineering and AI reshapes traditional practices while opening new frontiers in exploration and innovation. Innovative Machine Learning Applications in the Aerospace Industry explores the potential of machine learning applications, examining its impact on various sectors. It investigates the diverse realms of machine learning applications and their profound implications for the future. This book covers topics such as drone navigation, aerial images, and computer vision, and is a useful resource for business owners, engineers, academicians, researchers, and computer scientists.
