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Krauth, Timothé
17  results:
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1

Advanced collision risk estimation in terminal manoeuvring ..:

Krauth, Timothé ; Morio, Jérôme ; Olive, Xavier.
Engineering Applications of Artificial Intelligence.  133 (2024)  - p. 108137 , 2024
Link: https://doi.org/10.1016/..
 
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2

Deep generative modelling of aircraft trajectories in termi..:

Krauth, Timothé ; Lafage, Adrien ; Morio, Jérôme..
Machine Learning with Applications.  11 (2023)  - p. 100446 , 2023
Link: https://doi.org/10.1016/..
 
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3

Deep generative modelling of aircraft trajectories in termi..:

Krauth, Timothé ; Lafage, Adrien ; Morio, Jérôme..
https://doi.org/10.1016/j.mlwa.2022.100446.  , 2023
Link: https://hdl.handle.net/1..
 
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4

Collision risk assessment in terminal manoeuvring areas bas..:

Krauth, Timothé ; Figuet, Benoit ; Olive, Xaviet.
https://doi.org/10.21256/zhaw-28805.  , 2023
Link: https://hdl.handle.net/1..
 
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5

Deep generative modelling of aircraft trajectories in termi..:

Krauth, Timothé ; Lafage, Adrien ; Morio, Jérôme..
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mlwa.2022.100446.  , 2023
Link: https://hal.science/hal-..
 
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6

Quantitative air risk assessment for a drone inspection mis..:

Olive, Xavier ; Le Blaye, Patrick ; Sedov, Leonid.
hal-04131557.  , 2023
Link: https://hal.science/hal-..
 
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7

Variational autoencoder with weighted samples for high-dime..:

Demange-Chryst, Julien ; Bachoc, François ; Morio, Jérôme.
http://arxiv.org/abs/2310.09194.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

Deep generative modelling of aircraft trajectories in termi..:

Krauth, Timothé ; Lafage, Adrien ; Morio, Jérôme..
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mlwa.2022.100446.  , 2023
Link: https://hal.science/hal-..
 
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9

Quantitative air risk assessment for a drone inspection mis..:

Olive, Xavier ; Le Blaye, Patrick ; Sedov, Leonid.
hal-04131557.  , 2023
Link: https://hal.science/hal-..
 
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10

Large landing trajectory dataset for go-around analysis:

Monstein, Raphael ; Figuet, Benoit ; Krauth, Timothé..
https://doi.org/10.3390/engproc2022028002.  , 2022
Link: https://hdl.handle.net/1..
 
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11

Large landing trajectory data set for go-around analysis:

Monstein, Raphael ; Figuet, Benoit ; Krauth, Timothé..
https://doi.org/10.3390/engproc2022028002.  , 2022
Link: https://hdl.handle.net/1..
 
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12

Synthetic aircraft trajectories generated with multivariate..:

Krauth, Timothé ; Morio, Jérôme ; Olive, Xavier..
https://doi.org/10.3390/engproc2021013007.  , 2021
Link: https://hdl.handle.net/1..
 
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13

Deep generative modelling of aircraft trajectories in termi..:

Timothé Krauth ; Adrien Lafage ; Jérôme Morio..
http://www.sciencedirect.com/science/article/pii/S2666827022001219.  , 2023
Link: https://doi.org/10.1016/..
 
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14

Large Landing Trajectory Data Set for Go-Around Analysis:

Raphael Monstein ; Benoit Figuet ; Timothé Krauth..
doi:10.3390/engproc2022028002.  , 2022
Link: https://zenodo.org/recor..
 
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15

Large Landing Trajectory Dataset for Go-Around Analysis:

Raphael Monstein ; Benoit Figuet ; Timothé Krauth..
https://dx.doi.org/10.3390/engproc2022028002.  , 2022
Link: https://doi.org/10.3390/..
 
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