Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sean Shahkarami"'
Autor:
Dario Dematties, Samir Rajani, Rajesh Sankaran, Sean Shahkarami, Bhupendra Raut, Scott Collis, Pete Beckman, Nicola Ferrier
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102823- (2024)
According to the World Health Organization, healthy communities rely on well-functioning ecosystems. Clean air, fresh water, and nutritious food are inextricably linked to ecosystem health. Changes in biological activity convey important information
Externí odkaz:
https://doaj.org/article/d7e2bd9b6afd4d54acecdf3a13660ba2
Autor:
Dario Dematties, Bhupendra A. Raut, Seongha Park, Robert C. Jackson, Sean Shahkarami, Yongho Kim, Rajesh Sankaran, Pete Beckman, Scott M. Collis, Nicola Ferrier
Publikováno v:
Artificial Intelligence for the Earth Systems. :1-34
Accurate cloud type identification and coverage analysis are crucial in understanding the Earth’s radiative budget. Traditional computer vision methods rely on low-level visual features of clouds for estimating cloud coverage or sky conditions. Sev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::511534a2179e51f41e259482fa77a7b9
https://doi.org/10.1175/aies-d-22-0063.1
https://doi.org/10.1175/aies-d-22-0063.1
Publikováno v:
Journal of Parallel and Distributed Computing. 167:97-108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93c83ed61830c86e9025bf5f7c97d4f0
https://doi.org/10.1016/j.jpdc.2022.04.024
https://doi.org/10.1016/j.jpdc.2022.04.024
Autor:
Bhupendra A. Raut, Scott Collis, Nicola Ferrier, Paytsar Muradyan, Rajesh Sankaran, Robert Jackson, Sean Shahkarami, Seongha Park, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, Pete Beckman
Phase Correlation (PC) is a well-known method for estimating cloud motion vectors (CMV) from infrared and visible spectrum images. Commonly phase-shift is computed in the small blocks of the images using the fast Fourier transform. In this study, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1626c569141a79210139134be67ca0
https://doi.org/10.5194/amt-2022-159
https://doi.org/10.5194/amt-2022-159
Publikováno v:
IPDPS Workshops
The design of machine learning methodology often does not take into account the limitations of edge computing. In particular, active learning approaches have not considered the constraints of the edge, such as separate data locations (labeled data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c4609f0499a009b40c1bcc371e1bcce
https://doi.org/10.1109/ipdpsw52791.2021.00126
https://doi.org/10.1109/ipdpsw52791.2021.00126