Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Kenneth Kuhn"'
Autor:
Michael A Eberle, Pauline C Ng, Kenneth Kuhn, Lixin Zhou, Daniel A Peiffer, Luana Galver, Karine A Viaud-Martinez, Cynthia Taylor Lawley, Kevin L Gunderson, Richard Shen, Sarah S Murray
Publikováno v:
PLoS Genetics, Vol 3, Iss 10, Pp 1827-1837 (2007)
Advances in high-throughput genotyping and the International HapMap Project have enabled association studies at the whole-genome level. We have constructed whole-genome genotyping panels of over 550,000 (HumanHap550) and 650,000 (HumanHap650Y) SNP lo
Externí odkaz:
https://doaj.org/article/6f35ed976e6e4f0ebdc90c7bbf139a85
Publikováno v:
Journal of Marine Science and Engineering, Vol 4, Iss 1, p 10 (2016)
Modern joint probability methods for estimating storm surge or flood statistics are based on statistical aggregation of many hydrodynamic simulations that can be computationally expensive. Flood risk assessments that consider changing future conditio
Externí odkaz:
https://doaj.org/article/6d2d54bb1f42476f8063b56120b4b8ab
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2672:71-81
This study introduces a novel method of merging disparate but complementary datasets and applying machine learning techniques to ground delay program (GDP) data. More specifically, it aims to characterize GDPs with respect to changing weather forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddb3c5c39a528e2ad45f2f4183c486c0
https://doi.org/10.1177/0361198118782272
https://doi.org/10.1177/0361198118782272
Autor:
Kenneth Kuhn
Publikováno v:
Transportation Research Part C: Emerging Technologies. 87:105-122
The Aviation Safety Reporting System includes over a million confidential reports describing aviation safety incidents. Natural language processing techniques allow for relatively rapid and largely automated analysis of large collections of text data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::995b9e21de6ce6a04b202d53d74ca31b
https://doi.org/10.1016/j.trc.2017.12.018
https://doi.org/10.1016/j.trc.2017.12.018
Autor:
Kenneth Kuhn
Publikováno v:
Transportation Research Part C: Emerging Technologies. 69:1-15
This article describes a methodology for selecting days that are comparable in terms of the conditions faced during air traffic flow management initiative planning. This methodology includes the use of specific data sources, specific features of cale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d39b03f08af4715fe5e42ce709b8c0a
https://doi.org/10.1016/j.trc.2016.05.014
https://doi.org/10.1016/j.trc.2016.05.014
Publikováno v:
European Journal of Operational Research, 252(2), 418-431. Elsevier
It is important, in practice, to find robust solutions to optimisation problems. This issue has been the subject of extensive research focusing on single-objective problems. Recently, researchers also acknowledged the need to find robust solutions to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55f393fcbd0204dd999cc257b6598609
https://hdl.handle.net/1765/91158
https://hdl.handle.net/1765/91158
This brief examines the developing technology for using drones to deliver packages and attempts to identify the societal impacts, including potential effects on aerial congestion, noise, privacy, and other outcomes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a921972fcaa3b033e9b09f528b1bf6
https://doi.org/10.7249/rb9995
https://doi.org/10.7249/rb9995
Publikováno v:
Visualization and Data Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbbf1921174b8aee1cf4daf70ff92e4c
https://doi.org/10.2352/issn.2470-1173.2016.1.vda-485
https://doi.org/10.2352/issn.2470-1173.2016.1.vda-485
Publikováno v:
Guide for Conducting Benefit-Cost Analyses of Multimodal, Multijurisdictional Freight Corridor Investments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::457128111e0b81ae72a82a7ec6318e5c
https://doi.org/10.17226/24680
https://doi.org/10.17226/24680