Natural language processing based method for clustering and analysis of aviation safety narratives

RL Rose, TG Puranik, DN Mavris - Aerospace, 2020 - mdpi.com
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 …

Critical parameter identification for safety events in commercial aviation using machine learning

HK Lee, S Madar, S Sairam, TG Puranik, AP Payan… - Aerospace, 2020 - mdpi.com
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 …

Classification and analysis of go-arounds in commercial aviation using ADS-B data

SG Kumar, SJ Corrado, TG Puranik, DN Mavris - Aerospace, 2021 - mdpi.com
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 …

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 …

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 …

Matrix profile IV: using weakly labeled time series to predict outcomes

CCM Yeh, N Kavantzas, E Keogh - Proceedings of the VLDB Endowment, 2017 - dl.acm.org
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 …

[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 …

[PDF][PDF] Modeling go-around occurrence

L Dai, Y Liu, M Hansen - … of the Thirteenth USA/Europe Air …, 2019 - pdfs.semanticscholar.org
–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 …

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 …

[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 …