Innovative machine learning applications in the aerospace industry /

"The primary objective of the book is to provide a comprehensive and insightful exploration of how machine learning (ML) is transforming the aerospace sector. This book aims to showcase real-world applications and case studies that demonstrate the successful integration of machine learning in v...

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Bibliographic Details
Other Authors:	Ponnada, Venkata, 1983- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, [2026]
Subjects:	Aerospace engineering > Data processing > Technological innovations. Machine learning > Industrial applications. Apprentissage automatique > Applications industrielles.

Table of Contents:

Title Page
Copyright Page
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Innovative Applications of Machine Learning in Aerospace Design and Manufacturing
Chapter 2: Machine Learning-Based Solutions for Aerospace Engineering
Chapter 3: Transforming Aerospace Design and Manufacturing Through Machine Learning
Chapter 4: Next-Generation Computer Vision for Autonomous Drone Navigation
Chapter 5: Multi-Scene Recognition in Single Aerial Images Using CNN
Chapter 6: Role of Machine Learning in Computational Fluid Dynamics
Chapter 7: Investigation of Computer Vision and Machine Learning to Enhance Quality Control Processes in Aerospace Manufacturing
Chapter 8: RETRACTED: Coaching Communication
Chapter 9: Catalyzing Aerospace Progress Machine Learning Strategies for Emerging Economics
Compilation of References
About the Contributors
Index