Zobrazeno 1 - 10
of 83
pro vyhledávání: '"David Zammit-Mangion"'
Publikováno v:
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC).
Publikováno v:
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC).
Despite the on-board automation and protection systems of modern commercial aircraft, aerodynamic stall events are still a possible occurrence. This paper proposes Machine Learning algorithms – based on Reinforcement Learning and Supervised Learnin
Publikováno v:
Journal of Air Transportation. 27:153-163
During aircraft ground operations, sensors and technologies such as stereovision systems can be used to locate other aircraft on the airfield in order to improve crew situational awareness. Unfortu...
Publikováno v:
Journal of Aerospace Technology and Management, Vol 6, Iss 1 (2014)
This work describes initial results obtained from an ongoing research involving the development of optimization algorithms which are capable of performing multi-disciplinary aircraft trajectory optimization processes. A short description of both the
Externí odkaz:
https://doaj.org/article/eb01a60b983f4ce798899c1bf15224b3
Publikováno v:
AIAA Scitech 2021 Forum.
Publikováno v:
AIAA Scitech 2020 Forum.
This paper adopts an unsupervised learning technique, Principal Component Analysis (PCA) to analyze flight data. While the flight parameters for a stable approach have been established for a while, the paper reevaluates these flight parameters using
Publikováno v:
AIAA Scitech 2020 Forum.
Autor:
Brian Zammit, David Zammit-Mangion
Publikováno v:
Journal of Aircraft. 55:918-928
This paper presents the concept and design of an on-board decision support tool for planning energy recovery strategies in time-constrained descents. The recovery advisories generated by the tool e...
Publikováno v:
AIAA Scitech 2019 Forum
AIAA Scitech 2019 Forum, Jan 2019, San Diego, United States. ⟨10.2514/6.2019-1265⟩
AIAA Scitech 2019 Forum, Jan 2019, San Diego, United States. ⟨10.2514/6.2019-1265⟩
International audience; This paper addresses pilot error due to distractions, lack of situational awareness and misjudgment of separation during taxi manoeuvers. A display is being developed to minimize these errors and assist pilots to determine saf
Publikováno v:
2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).