2023
DOI: 10.1016/j.omega.2023.102906
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Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents

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Cited by 10 publications
(1 citation statement)
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“…2 , including sand, grassland, mountains, agricultural areas, cities, water, and more, the dataset provides annotated images for a multitude of terrain types. This diversity can be valuable for researchers to enhance the accuracy of their machine learning models that detect safe landing areas during aircraft emergencies [14] which can happen over different types of terrain during a given flight.
Fig.
…”
Section: Data Descriptionmentioning
confidence: 99%
“…2 , including sand, grassland, mountains, agricultural areas, cities, water, and more, the dataset provides annotated images for a multitude of terrain types. This diversity can be valuable for researchers to enhance the accuracy of their machine learning models that detect safe landing areas during aircraft emergencies [14] which can happen over different types of terrain during a given flight.
Fig.
…”
Section: Data Descriptionmentioning
confidence: 99%