AIMC Topic: Accidents, Aviation
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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data.
PloS one
Feb 6, 2025
Regarding the transportation of people, commodities, and other items, aeroplanes are an essential need for society. Despite the generally low danger associated with various modes of transportation, some accidents may occur. The creation of a machine ...
Research on fatigue detection of flight trainees based on face EMF feature model combination with PSO-CNN algorithm.
Scientific reports
Sep 4, 2024
Even though the capability of aircraft manufacturing has improved, human factors still play a pivotal role in flight accidents. For example, fatigue-related accidents are a common factor in human-led accidents. Hence, pilots' precise fatigue detectio...
A Deep Learning Framework for Real-Time Bird Detection and Its Implications for Reducing Bird Strike Incidents.
Sensors (Basel, Switzerland)
Aug 23, 2024
Bird strikes are a substantial aviation safety issue that can result in serious harm to aircraft components and even passenger deaths. In response to this increased tendency, the implementation of new and more efficient detection and prevention techn...
Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.
Cyberpsychology, behavior and social networking
Jun 25, 2024
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health dis...
Human Factors Contributions to the Development of Standards for Displays of Unmanned Aircraft Systems in Support of Detect-and-Avoid.
Human factors
Apr 14, 2020
OBJECTIVE: The aim is to provide a high-level synthesis of human factors research that contributed to the development of detect-and-avoid display requirements for unmanned aircraft systems (UAS).
Psychiatry and Fitness to Fly After Germanwings.
The journal of the American Academy of Psychiatry and the Law
Nov 21, 2019
In March 2015, a co-pilot flying Germanwings Flight 9525 deliberately pointed his airplane into a descent, killing himself, five other crew members, and 144 passengers. Subsequent investigation and review teams examined the incident and considered po...
Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts.
Ergonomics
Dec 19, 2017
Human Factors Analysis and Classification System (HFACS) is based upon Reason's organizational model of human error which suggests that there is a 'one to many' mapping of condition tokens (HFACS level 2 psychological precursors) to unsafe act tokens...
[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].
Psychiatrische Praxis
Feb 9, 2016
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.
Analysis of NTSB Aircraft-Assisted Pilot Suicides: 1982-2014.
Suicide & life-threatening behavior
Aug 26, 2015
On March 24, 2015, a Germanwings aircraft crashed in the Alps. The suicidal copilot killed himself and 150 others. Pilot suicide is rare, but does happen. This research analyzed the National Transportation Safety Board's accident database (eADMS) loo...
Factors Contributing to Fatalities in Helicopter Emergency Medical Service Accidents.
Aerospace medicine and human performance
Feb 1, 2025
INTRODUCTION: This study aimed to update and reinforce previous research on helicopter emergency medical service accidents in the United States. By investigating predictors of fatalities after helicopter emergency medical service crashes through the ...
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