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. As a …
together with a diversification of techniques for collecting and analyzing flight data. As a …
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 …
that leverage aviation data collected from commercial airline operations to improve safety …
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 …
landing attempt has been aborted. It is necessary to conduct go-arounds in the safest …
Explaining aviation safety incidents using deep temporal multiple instance learning
VM Janakiraman - Proceedings of the 24th ACM SIGKDD International …, 2018 - dl.acm.org
Although aviation accidents are rare, safety incidents occur more frequently and require a
careful analysis to detect and mitigate risks in a timely manner. Analyzing safety incidents …
careful analysis to detect and mitigate risks in a timely manner. Analyzing safety incidents …
A supervised learning approach for safety event precursor identification in commercial aviation
JL Ackley, TG Puranik, D Mavris - AIAA Aviation 2020 Forum, 2020 - arc.aiaa.org
Growth in the aviation industry coupled with advancements in technology and data science
techniques have led commercial airlines to more data-driven analysis for both operational …
techniques have led commercial airlines to more data-driven analysis for both operational …
Matrix profile IV: using weakly labeled time series to predict outcomes
In academic settings over the last decade, there has been significant progress in time series
classification. However, much of this work makes assumptions that are simply unrealistic for …
classification. However, much of this work makes assumptions that are simply unrealistic for …
[图书][B] Towards a near universal time series data mining tool: Introducing the matrix profile
MCC Yeh - 2018 - search.proquest.com
The last decade has seen a flurry of research on all-pairs-similarity-search (or, self-join) for
text, DNA, and a handful of other datatypes, and these systems have been applied to many …
text, DNA, and a handful of other datatypes, and these systems have been applied to many …
[PDF][PDF] Modeling go-around occurrence
–Arrival demand:# aircrafts intending to arrive–Arrival rate: Airport supplied Arrival Rate
(AAR) for capacity–The change of runway configuration: 1 if the used runway configuration …
(AAR) for capacity–The change of runway configuration: 1 if the used runway configuration …
Detection and Analysis of Aviation Safety Events using Historic Flight Data
BS Park, SM Han, HT Lee, H Lim… - 2023 IEEE/AIAA 42nd …, 2023 - ieeexplore.ieee.org
In this paper, the final approach overshoot, localizer deviation, and glideslope deviation,
which frequently occur in the approach phase, were detected and their occurrence was …
which frequently occur in the approach phase, were detected and their occurrence was …
[PDF][PDF] Optimized application of artificial intelligence (AI) in aviation market.
M Kumar - International Journal of Recent Research Aspects, 2022 - ijrra.net
Businesses may now communicate with their consumers in new ways, make new strategic
decisions, and create new workflows thanks to technological advancements. Things like …
decisions, and create new workflows thanks to technological advancements. Things like …