About this document
Machine Learning in Aerospace Engineering by 4g8dkxqnvx is a document available to read on EtoBox.
This review explores the applications of machine learning (ML) and deep learning (DL) in aerospace and aero-engine engineering, highlighting their impact on areas such as aircraft aerodynamics, design, and health state evaluation of engines. It discusses the advantages and challenges of these technologies, emphasizing the need for further examination of DL techniques in addressing data-driven challenges in the field. The review also outlines the methodologies of ML and DL, providing insights into their pote
- Author
- 4g8dkxqnvx
- Language
- EN