From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning

From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning. Dewez, F., Guedj, B., & Vandewalle, V. Data-Centric Engineering, 1:e11, Cambridge University Press, 2020.
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@article{dewez2020industrywide,
	Author = {Dewez, Florent and Guedj, Benjamin and Vandewalle, Vincent},
	Date-Added = {2021-02-05 10:50:58 +0100},
	Date-Modified = {2021-02-05 10:50:58 +0100},
	Doi = {10.1017/dce.2020.12},
	Journal = {Data-Centric Engineering},
	Pages = {e11},
	Publisher = {Cambridge University Press},
	Title = {From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning},
	Volume = {1},
	Year = {2020},
	Bdsk-Url-1 = {https://doi.org/10.1017/dce.2020.12}}

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