Applying machine learning to enhance runway safety through runway excursion risk mitigation

EV Odisho, D Truong, RE Joslin - Journal of Aerospace Information …, 2022 - arc.aiaa.org
Risk of runway excursion caused by pilots continuing an unstable approach to landing has
been identified by aviation accident investigators as a primary contributing factor in airline …

A systems approach for characterizing human deep space mission anomaly response capabilities and functional constraints

PK Pischulti, DM Klaus - Journal of Space Safety Engineering, 2024 - Elsevier
Human exploration of Mars and beyond will demand unprecedented levels of onboard self-
sufficiency due to the exceedingly far distances from Earth and lengthy mission durations …

Detecting Engine Failure in Twin-Engine Aircraft With LSTM-RNN Using X-Plane

C Mourning, AW Ghauri - AIAA SCITECH 2025 Forum, 2025 - arc.aiaa.org
Loss of control remains one of the leading causes of fatalities in aviation often stemming
from undetected anomalies or failures that escalate into catastrophic events. The ability to …

Strategies for Enabling Self-Sufficient Anomaly Response in Deep Space Habitats

PK Pischulti - 2024 - search.proquest.com
As future deep space human exploration habitats will be required to function with more
autonomy than any prior missions, the development of system level autonomous capabilities …

[图书][B] Predicting pilot misperception of runway excursion risk through machine learning algorithms of recorded flight data

EV Odisho II - 2020 - search.proquest.com
The research used predictive models to determine pilot misperception of runway excursion
risk associated with unstable approaches. The Federal Aviation Administration defined …