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Automatic Gaze Classification for Aviators: Using Multi-task Convolutional Networks as a Proxy for Flight Instructor Observation
Article
Article
Automatic Gaze Classification for Aviators: Using Multi-task Convolutional Networks as a Proxy for Flight Instructor Observation
Justin Wilson et al · Embry-Riddle Aeronautical University · 2020 · ISSN 2374-6793
In this work, we investigate how flight instructors observe aviator scan patterns and assign quality to an aviator's gaze. We first establish the reliability of instructors to assign similar quality to an aviator's scan ...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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Aircraft Damage Classification by using Machine Learning Methods
Article
Article
Aircraft Damage Classification by using Machine Learning Methods
Tüzün Tolga İnan · Embry-Riddle Aeronautical University · 2023 · ISSN 2374-6793
Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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Classifıcation of Survivor/Non-Survivor Passengers in Fatal Aviation Accidents: A Machine Learning Approach
Article
Article
Classifıcation of Survivor/Non-Survivor Passengers in Fatal Aviation Accidents: A Machine Learning Approach
Tüzün Tolga İNAN · Embry-Riddle Aeronautical University · 2022 · ISSN 2374-6793
The safety concept primarily examines the most fatal (resulting in dead passengers) accidents of aviation history in this study. The primary causes of most fatal accidents are; human, technical, and sabotage/terrorism fa...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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Predictability improvement of Scheduled Flights Departure Time Variation using Supervised Machine Learning
Article
Article
Predictability improvement of Scheduled Flights Departure Time Variation using Supervised Machine Learning
DEEPUDEV SAHADEVAN et al · Embry-Riddle Aeronautical University · 2021 · ISSN 2374-6793
The departure time uncertainty exacerbates the inaccuracy of arrival time estimation and demand for arrival slots, particularly for movements to capacity constrained airports. The Estimated Take-Off Time (ETOT) or Estima...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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