Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Tejas G. Puranik"'
Autor:
Jubilee Prasad-Rao, Olivia J. Pinon Fischer, Neil C. Rowe, Jesse R. Williams, Tejas G. Puranik, Dimitri N. Mavris, Michael W. Natali, Mitchell J. Tindall, Beth W. Atkinson
Publikováno v:
Aerospace, Vol 10, Iss 4, p 379 (2023)
The cost to train a basic qualified U.S. Navy fighter aircraft pilot is nearly USD 10 M. The training includes primary, intermediate, and advanced stages, with the advanced stage involving extensive flight training, and, thus, is very expensive as a
Externí odkaz:
https://doaj.org/article/095a069b83474f1eb102d855c48f544c
Publikováno v:
Aerospace, Vol 8, Iss 10, p 291 (2021)
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-critical of operations. Recent
Externí odkaz:
https://doaj.org/article/86fe329fc59d4815955f2f3f987b0d25
Publikováno v:
Proceedings, Vol 59, Iss 1, p 7 (2020)
To support efforts to modernize aviation systems to be safer and more efficient, high-precision trajectory prediction and robust anomaly detection methods are required. The terminal airspace is identified as the most critical airspace for individual
Externí odkaz:
https://doaj.org/article/a9dd0127f18f41459d41c2d6f733015a
Publikováno v:
Aerospace, Vol 7, Iss 10, p 143 (2020)
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 result, data-driven frameworks for enhancing flight safety have gro
Externí odkaz:
https://doaj.org/article/22ed65c7937640c8bf3963d2152471af
Autor:
HyunKi Lee, Sasha Madar, Santusht Sairam, Tejas G. Puranik, Alexia P. Payan, Michelle Kirby, Olivia J. Pinon, Dimitri N. Mavris
Publikováno v:
Aerospace, Vol 7, Iss 6, p 73 (2020)
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. This paper presents the application of machine learning to improv
Externí odkaz:
https://doaj.org/article/423399a5de134cd09de510422dbe4a30
Publikováno v:
AIAA Journal. 60:2580-2596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe03ab5cc1fd4569dc01ba4da5177ab0
https://doi.org/10.2514/1.j061079
https://doi.org/10.2514/1.j061079
Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
Publikováno v:
AIAA Journal. 60:1505-1521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44588d79c72b3f9d8d0dac14c26ccfa9
https://doi.org/10.2514/1.j061007
https://doi.org/10.2514/1.j061007
Publikováno v:
Journal of Aerospace Information Systems. 19:22-36
In recent years, there has been a rapid growth in applying machine learning techniques that leverage aviation data collected from commercial airline operations to improve safety. Anomaly detection ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::051790d23cfc588d4094a9fe2c52f065
https://doi.org/10.2514/1.i010971
https://doi.org/10.2514/1.i010971
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::764d9467e8692cadbc1d2e7f5c7ab1c9
https://doi.org/10.2514/6.2023-0504
https://doi.org/10.2514/6.2023-0504
Autor:
Alicia Fernandes, Dan Wesely, Tejas G. Puranik, Aida Sharif Rohani, Krishna M. Kalyanam, Drew Morin
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30c0d082be790d3f7652aacb38adec2
https://doi.org/10.2514/6.2023-2532
https://doi.org/10.2514/6.2023-2532