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Machine Learning and Deep Learning for Intelligent Systems in Small Aircraft Applications
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Author(s): U. Rahamathunnisa (School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, India), Akash Mohanty (School of Mechanical Engineering, Vellore Institute of Technology, India), K. Sudhakar (Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India), S. Anitha Jebamani (Department of Information Technology, Sri Sai Ram Engineering College, Chennai, India), R. Udendhran (Department of Computational Intelligence, SRM Institute of Science and Technology, India)and Sureshkumar Myilsamy (Mechanical Engineering, Bannari Amman Institute of Technology, India)
Copyright: 2024
Pages: 25
Source title:
Handbook of Research on AI and ML for Intelligent Machines and Systems
Source Author(s)/Editor(s): Brij B. Gupta (Asia University, Taichung, Taiwan & Lebanese American University, Beirut, Lebanon)and Francesco Colace (University of Salerno, Italy)
DOI: 10.4018/978-1-6684-9999-3.ch011
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Abstract
This chapter explores the integration of machine learning and deep learning techniques in small aircraft applications. The aviation industry is exploring innovative solutions to improve safety, efficiency, and performance in these operations. The chapter explores the advantages, challenges, and future prospects of implementing intelligent systems in small aircraft, including autopilot systems, navigation assistance, fault detection, and pilot support systems. Real-world case studies and applications demonstrate the transformative impact of these technologies on small aircraft operations. The chapter provides a comprehensive overview of the latest advancements in machine learning and deep learning, highlighting their pivotal role in improving small aircraft intelligence, safety, and efficiency.
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