Research papers
5,883 papers · NASA NTRS, NTSB, FAA CAMI
NASA NTRS · 1,269 NTSB Safety Studies · 12 NTSB Aircraft Accident Reports · 17 Embry-Riddle Scholarly Commons · 1,993
201 matches · Semantic ScholarComputer Science
- Semantic Scholar 2023 Article (Aerospace)
Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights Using the Aviation Safety Reporting System (ASRS)
This research investigates the potential application of generative language models, especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of safety analyses and accelerate the time it takes…
- Semantic Scholar 2023 Article (Aerospace)
Natural Language Processing (NLP) in Aviation Safety: Systematic Review of Research and Outlook into the Future
Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviatio…
- Semantic Scholar 2023 Article (AIAA AVIATION 2023 Forum)
Sequential Classification of Aviation Safety Occurrences with Natural Language Processing
Safety is a critical aspect of the air transport system given even slight operational anomalies can result in serious consequences. To reduce the chances of aviation safety occurrences, accidents and incidents are report…
- Semantic Scholar 2023 Article (Virtual Reality)
Designing augmented reality for future commercial aviation: a user-requirement analysis with commercial aviation pilots
Augmented reality (AR) capable head-mounted displays (HMDs) have been proposed as technological enablers of several complex future flight concepts, which will bring accompanying pilot situation awareness (SA) and operati…
- Semantic Scholar 2023 Article (Machines)
Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review
The fuel system, which aims to provide sufficient fuel to the engine to maintain thrust and power, is one of the most critical systems in the aircraft.
- Semantic Scholar 2023 Article (International Journal of Aerospace Engineering)
Analysis of Single-Pilot Intention Modeling in Commercial Aviation
With the continual enhancement of the onboard avionics, the minimum flight crew has been downsized from five to two-person crew mode, and reduced crew operation has drawn extensive attention from aviation experts.
- Semantic Scholar 2023 Article (IEEE Transactions on Aerospace and Electronic Systems)
Minimum-Time Trajectory Generation of eVTOL in Low-Speed Phase: Application in Control Law Design
With the emergence of electric propulsive technologies in the past decades, electric vertical takeoff and landing (eVTOL) aircraft gain increasing interest, which paves the path for advanced air mobility.
- Semantic Scholar 2023 Article (Journal of Agrometeorology)
Enhancing livelihoods in farming communities through super-resolution agromet advisories using advanced digital agriculture technologies
Agricultural production in India is highly vulnerable to climate change. Transformational change to farming systems is required to cope with this changing climate to maintain food security, and ensure farming to remain e…
- Semantic Scholar 2023 Article (Applied Sciences)
Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility
Urban air mobility (UAM) has become a potential candidate for civilization for serving smart citizens, such as through delivery, surveillance, and air taxis.
- Semantic Scholar 2022 Article (Italian National Conference on Sensors)
Research on Aviation Safety Prediction Based on Variable Selection and LSTM
Accurate prediction of aviation safety levels is significant for the efficient early warning and prevention of incidents. However, the causal mechanism and temporal character of aviation accidents are complex and not ful…
- Semantic Scholar 2022 Article (Journal of Safety Research)
The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning
Introduction: Disruptions to aviation operations occur daily on a micro-level with negligible impacts beyond the inconvenience of rebooking and changing aircrew schedules.
- Semantic Scholar 2022 Article (IEEE transactions on intelligent transportation systems (Print))
Safety Assured Online Guidance With Airborne Separation for Urban Air Mobility Operations in Uncertain Environments
The concept of Urban Air Mobility (UAM) proposes to use revolutionary new electrical vertical takeoff and landing (eVTOL) aircraft to provide efficient and on-demand air transportation service between places previously u…
- Semantic Scholar 2022 Article (Aerospace)
Natural Language Processing of Aviation Safety Reports to Identify Inefficient Operational Patterns
With the growth in commercial aviation traffic and the need for improved environmental performance, strategies to lower emissions that can be implemented in the near term are necessary.
- Semantic Scholar 2022 Article (Cognition, Technology & Work)
The case for change: aviation worker wellbeing during the COVID 19 pandemic, and the need for an integrated health and safety culture
The workplace is an important setting for health protection, health promotion and disease prevention. Currently, health and wellbeing approaches at an aviation organisational level are not addressing both human and safet…
- Semantic Scholar 2022 Article (AIAA AVIATION 2022 Forum)
Reachability based Online Safety Verification for High-Density Urban Air Mobility Trajectory Planning
This paper presents a safe and scalable real-time trajectory planning framework for high-density Urban Air Mobility (UAM). The framework extends our previously developed highly efficient Markov Decision Process (MDP) bas…
- Semantic Scholar 2022 Article (Expert Syst. J. Knowl. Eng.)
Management and intelligent control of in‐flight fuel distribution in a commercial aircraft
Fuel management is an important issue in aviation for safety and efficiency reasons. This work develops an alternative solution based on an artificial intelligent technique to the fuel distribution management problem in …
- Semantic Scholar 2022 Article (International Conference on Language Resources and Evaluation)
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain
In the commercial aviation domain, there are a large number of documents, like accident reports of NTSB and ASRS, and regulatory directives ADs.
- Semantic Scholar 2022 Article (International Conference on Applied System Innovation)
Application of Augmented Reality for Aviation Equipment Inspection and Maintenance Training
In the procedure of aviation equipment maintenance, a healthy status and prior knowledge are essential to every person. Making the newcomers get familiar with their tasks rapidly and reducing human error are important is…
- Semantic Scholar 2022 Article (Reliability Engineering & System Safety)
Application of structural topic modeling to aviation safety data
- Semantic Scholar 2022 Article (Aeronautical Journal)
Design of simulation-based pilot training systems using machine learning agents
The high operational cost of aircraft, limited availability of air space, and strict safety regulations make training of fighter pilots increasingly challenging.
- Semantic Scholar 2022 Article (Journal of Aviation/Aerospace Education & Research)
Effectiveness of Virtual Reality Simulations for Civilian, Ab Initio Pilot Training
- Semantic Scholar 2022 Article
Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation
The language processing part of the overall system is described, which is a commercially available automatic speech recognition system trained on aviation specific vocabulary and strategies for dealing with cockpit noise…
- Semantic Scholar 2022 Article (Electronic Research Archive)
Fatigue detection method for UAV remote pilot based on multi feature fusion
In recent years, UAV industry is developing rapidly and vigorously. However, so far, there is no relevant research on the fatigue detection method for UAV remote pilot, which is the core technology to ensure the flight s…
- Semantic Scholar 2021 Article (IEEE Symposium Series on Computational Intelligence)
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals
Reducing aviation fatalities requires a high level of reliable real-time monitoring so that events can be predicted and prevented before they can occur.
- Semantic Scholar 2021 Article (International Journal of Environmental Research and Public Health)
Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education.
- Semantic Scholar 2021 Article (Aerospace)
Classification and Analysis of Go-Arounds in Commercial Aviation Using ADS-B Data
Go-arounds are a necessary aspect of commercial aviation and are conducted after a landing attempt has been aborted. It is necessary to conduct go-arounds in the safest possible manner, as go-arounds are the most safety-…
- Semantic Scholar 2021 Article
Sequential deep learning from NTSB reports for aviation safety prognosis
A set of data-mining and sequential deep learning techniques are applied to accident investigation reports published by the National Transportation Safety Board in support of the prognosis of adverse events.
- Semantic Scholar 2021 Article (Journal of Advanced Transportation)
Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach
Aviation is a complicated transportation system, and safety is of paramount importance because aircraft failure often involves casualties. Prevention is clearly the best strategy for aviation transportation safety.
- Semantic Scholar 2021 Article (Reliability Engineering & System Safety)
Bayesian network modeling of accident investigation reports for aviation safety assessment
Abstract Safety assurance is of paramount importance in the air transportation system. In this paper, we analyze the historical passenger airline accidents that happened from 1982 to 2006 as reported in the National Tran…
- Semantic Scholar 2021 Article (Journal of Supercomputing)
Traffic collision avoidance system: false injection viability
Safety is a simple concept but an abstract task, specifically with aircraft. One critical safety system, the Traffic Collision Avoidance System II (TCAS), protects against mid-air collisions by predicting the course of o…
- Semantic Scholar 2021 Article (IEEE Transactions on Cognitive and Developmental Systems)
Performance-Based Iterative Learning Control for Task-Oriented Rehabilitation: A Pilot Study in Robot-Assisted Bilateral Training
Active participation from human subjects can enhance the effectiveness of robot-assisted rehabilitation. Developing interactive control strategies for customized assistance is therefore essential for encouraging human–ro…
- Semantic Scholar 2021 Article (Journal of Aerospace Information Systems)
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events
In recent years, there has been a rapid growth in the application of machine learning techniques that leverage aviation data collected from commercial airline operations to improve safety.
- Semantic Scholar 2021 Article (Italian National Conference on Sensors)
High-Resolution and Large-Detection-Range Virtual Antenna Array for Automotive Radar Applications
Collision avoidance and autonomous control of vehicles have become essential needs for providing a high-quality and safe life. This paper introduces a new generic scheme for a virtual antenna array (VAA) and its applicat…
- Semantic Scholar 2021 Article (Journal of Physics: Conference Series)
A Comparative Overview of Accident Forecasting Approaches for Aviation Safety
The demand of air transportation is expected to be doubled over the next two decades as per the recommendations of the International Air Transport Association.
- Semantic Scholar 2021 Article (IOP Conference Series: Materials Science and Engineering)
The effects of Virtual Reality technology application in the aircraft pilot training process
In this study, we focus on some problems related to virtual reality technology usage in supporting the educational process. The main goal is to obtain the optimal duration of exposure to virtual reality without the appea…
- Semantic Scholar 2021 Article (VISIGRAPP)
Virtual Reality for Pilot Training: Study of Cardiac Activity
: Flight training is provided through real flights with real aircraft and virtual flights using simulators. Nowadays a third alternative way emerges which is the use of immersive virtual reality (VR) flight deck.
- Semantic Scholar 2020 Article (Proceedings of the Human Factors and Ergonomics Society Annual Meeting)
A Comparison of Rule-Based and Machine Learning Models for Classification of Human Factors Aviation Safety Event Reports
There is growing interest in the study and practice of applying data science (DS) and machine learning (ML) to automate decision making in safety-critical industries.
- Semantic Scholar 2020 Article (Digital Biomarkers)
Assessment of Fatigue Using Wearable Sensors: A Pilot Study
Background: Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts patient health-related quality of life across a huge range of conditions…
- Semantic Scholar 2020 Article
Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying, isolating, and redu…
- Semantic Scholar 2020 Article (Journal of Advanced Transportation)
Using the Functional Resonance Analysis Method (FRAM) in Aviation Safety: A Systematic Review
The functional resonance analysis method (FRAM) is a system-based method to understand highly complex sociotechnical systems. Besides learning from safety occurrences or undesirable states, FRAM can be used to understand…
- Semantic Scholar 2020 Article (Aerospace)
Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives
The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data.
- Semantic Scholar 2020 Article (Chronobiology International)
An evaluation of fatigue factors in maritime pilot work scheduling
ABSTRACT Maritime piloting operations involve on-call work schedules that may lead to sleep loss and circadian misalignment. Our study documented pilot work scheduling practices (n = 61) over a one-year period.
- Semantic Scholar 2020 Article (IEEE Intelligent Transportation Systems Magazine)
An Assessment of GPS Spoofing Detection Via Radio Power and Signal Quality Monitoring for Aviation Safety Operations
Due to the ever-growing threat of GPS spoofing, it has become necessary for the aviation sector to develop an effective means of detection.
- Semantic Scholar 2020 Article (Hum. Factors)
Responding to an Unexpected In-Flight Event: Physiological Arousal, Information Processing, and Performance
Objective The study was designed to investigate whether a simulated unexpected abnormal flight event can lead to startle and explore differences in behavioral responses between expected and unexpected abnormal flight eve…
- Semantic Scholar 2020 Article (AIAA AVIATION 2020 FORUM)
Explainable Artificial Intelligence for Aviation Safety Applications
- Semantic Scholar 2020 Article (AIAA AVIATION 2020 FORUM)
A Supervised Learning Approach for Safety Event Precursor Identification in Commercial Aviation
- Semantic Scholar 2020 Article (Aerospace)
Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning
In recent years, there has been a rapid growth in the application of data science techniques that leverage aviation data collected from commercial airline operations to improve safety.
- Semantic Scholar 2020 Article
Sum-of-Squares Flight Control Synthesis for Deep-Stall Recovery
Certification of inflight loss-of-control recovery is complicated by the highly nonlinear flight dynamics beyond stall. In lieu of extensive Monte Carlo simulations for flight control certification...
- Semantic Scholar 2020 Article (Applied Sciences)
A System-Level Failure Propagation Detectability Using ANFIS for an Aircraft Electrical Power System
The Electrical Power System (EPS) in an aircraft is designed to interact extensively with other systems. With a growing trend towards more electric aircraft, the complexity of interactions between the EPS and other syste…
- Semantic Scholar 2020 Article (Advanced Engineering Informatics)
Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
Abstract The development of an automated health monitoring framework is critical for aviation system safety, especially considering the expected increase in air traffic over the next decade.