Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ashley Ellenson"'
Autor:
Evan B. Goldstein, Daniel Buscombe, Eli D. Lazarus, Somya D. Mohanty, Shah Nafis Rafique, Katherine A. Anarde, Andrew D. Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin‐Si R. Over, Rose V. Palermo, Katherine M. Ratliff, Ian R. B. Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan Warrick, Phillipe Wernette, Hannah E. Williams
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Abstract Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this
Externí odkaz:
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a
Publikováno v:
Nature Geoscience. 14:878-880
Leveraging advances in artificial intelligence could revolutionize the Earth and environmental sciences. We must ensure that our research funding and training choices give the next generation of geoscientists the capacity to realize this potential.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b43709da833e63ac84bee6e252997eee
https://doi.org/10.1038/s41561-021-00865-3
https://doi.org/10.1038/s41561-021-00865-3
Autor:
Shah Nafis Rafique, Ashley Ellenson, Luke A. Taylor, Somya D. Mohanty, Eli D. Lazarus, I. R. B. Reeves, R. Palermo, K. Anarde, Jessamin A. Straub, Jin-Si R. Over, N. Cohn, Hannah Williams, Megan Gillen, Andrew D. Ashton, Katherine A. Castagno, K. M. Ratliff, Paige A. Hovenga, E. J. Wallace, Jonathan A. Warrick, Phillipe A. Wernette, Tomas Beuzen, Matthew P. Conlin, Daniel Buscombe, Lily H. Sanborn, Evan B. Goldstein
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this points to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deccc86bc5134e82dde63633eb6e227c
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a
Autor:
Adam Brown, H. Tuba Özkan-Haller, Ashley Ellenson, Merrick C. Haller, Fadia Ticona Rollano, Jim Thomson
Publikováno v:
IEEE Journal of Oceanic Engineering. 44:1011-1023
Surface wave instrumentation floats with tracking were deployed by helicopter ahead of five large storms off the Oregon coast. The buoys drifted freely with the wave motions, surface currents, and wind. The buoys use a 9-DoF inertial measurement unit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::531326a46ea23f37e928337dbb3aa3f1
https://doi.org/10.1109/joe.2018.2868335
https://doi.org/10.1109/joe.2018.2868335
Autor:
Merrick C. Haller, Jim Thomson, Ashley Ellenson, Adam Brown, Fadia Ticona Rollano, H. Tuba Özkan-Haller
Publikováno v:
Ocean Dynamics. 69:1165-1179
In the presence of strong winds, ocean surface waves dissipate significant amounts of energy by breaking. Here, breaking rates and wave-following turbulent dissipation rate measurements are compared with numerical WAVEWATCH III estimates of bulk ener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9678e29f77b9dfe14cfd866fcfd75aa2
https://doi.org/10.1007/s10236-019-01301-2
https://doi.org/10.1007/s10236-019-01301-2
Publikováno v:
Remote Sensing
Volume 12
Issue 23
Pages: 3953
Remote Sensing, Vol 12, Iss 3953, p 3953 (2020)
Volume 12
Issue 23
Pages: 3953
Remote Sensing, Vol 12, Iss 3953, p 3953 (2020)
Nearshore morphology is a key driver in wave breaking and the resulting nearshore circulation, recreational safety, and nutrient dispersion. Morphology persists within the nearshore in specific shapes that can be classified into equilibrium states. E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95fa30c5138b991a19ff1dc056ae38b3
Publikováno v:
Nature Geoscience. 15:156-156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4827bc718443043f4de4f85e457ba9a
https://doi.org/10.1038/s41561-021-00881-3
https://doi.org/10.1038/s41561-021-00881-3
Publikováno v:
Coastal Engineering Proceedings. :37
Nearshore beach morphology is of interest to coastal managers due to the strong influence it exerts on subaerial beach erosion, pollutant dispersal, and recreational safety. In particular, wave breaking conditions and nearshore hydrodynamics are high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae6a30a8b52e2c3eba3d9fb5cddcd672
https://doi.org/10.9753/icce.v36v.sediment.37
https://doi.org/10.9753/icce.v36v.sediment.37