Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Prabhjot Sandhu"'
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2541-2560 (2023)
Salinity is of paramount importance in shaping water quality, ecosystem health, and the capacity to sustain diverse human and environmental demands in estuarine environments. Electrical conductivity (EC) is commonly utilized as an indirect measure of
Externí odkaz:
https://doaj.org/article/427c1a6d9c6d413e8e08c4e34c9a2475
Publikováno v:
Hydrology, Vol 10, Iss 11, p 212 (2023)
Hydrodynamic models are widely used in simulating water dynamics in riverine and estuarine systems. A reasonably realistic representation of the geometry (e.g., channel length, junctions, cross-sections, etc.) of the study area is imperative for any
Externí odkaz:
https://doaj.org/article/05e1b2bc66bf4c67a624d9b7655ba9ed
Autor:
Huynh, Siyu Qi, Minxue He, Raymond Hoang, Yu Zhou, Peyman Namadi, Bradley Tom, Prabhjot Sandhu, Zhaojun Bai, Francis Chung, Zhi Ding, Jamie Anderson, Dong Min Roh, Vincent
Publikováno v:
Water; Volume 15; Issue 13; Pages: 2482
Salinity management in estuarine systems is crucial for developing effective water-management strategies to maintain compliance and understand the impact of salt intrusion on water quality and availability. Understanding the temporal and spatial vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4e2781c4f3790b84e894d0c70d65ed50
Autor:
Anderson, Dong Min Roh, Minxue He, Zhaojun Bai, Prabhjot Sandhu, Francis Chung, Zhi Ding, Siyu Qi, Yu Zhou, Raymond Hoang, Peyman Namadi, Bradley Tom, Jamie
Publikováno v:
Water; Volume 15; Issue 13; Pages: 2320
Salinity in estuarine environments has been traditionally simulated using process-based models. More recently, data-driven models including artificial neural networks (ANNs) have been developed for simulating salinity. Compared to process-based model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::dcd7577f67ab8e0cacabb3a116262807
Publikováno v:
Earth Science Informatics. 15:1749-1764
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ea020765643e12d66c99820218bf28
https://doi.org/10.1007/s12145-022-00828-1
https://doi.org/10.1007/s12145-022-00828-1
Publikováno v:
Hydrological Processes. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c9db832bf1bee7d037df9e2dcd79f3e
https://doi.org/10.1002/hyp.14694
https://doi.org/10.1002/hyp.14694
Autor:
Prabhjot Sandhu, Nimal C. Jayasundara, Siyu Qi, Minxue He, Zhaojun Bai, Zhi Ding, Sanjaya A. Seneviratne, Tariq N. Kadir
Publikováno v:
Journal of Water Resources Planning and Management. 147
Domain-specific architectures of artificial neural networks (ANNs) have been developed to estimate salinity levels for planning at key monitoring stations in the Sacramento-San Joaquin Delt...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dfc6a9467d0629fbec1e7fd800db732
https://doi.org/10.1061/(asce)wr.1943-5452.0001445
https://doi.org/10.1061/(asce)wr.1943-5452.0001445
Autor:
Siyu Qi, Minxue He, Zhaojun Bai, Zhi Ding, Prabhjot Sandhu, Francis Chung, Peyman Namadi, Yu Zhou, Raymond Hoang, Bradley Tom, Jamie Anderson, Dong Min Roh
Publikováno v:
Water; Volume 14; Issue 22; Pages: 3628
Water resources management in estuarine environments for water supply and environmental protection typically requires estimates of salinity for various flow and operational conditions. This study develops and applies two novel deep learning (DL) mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4229630e2699c84559018911366a9f
https://doi.org/10.3390/w14223628
https://doi.org/10.3390/w14223628
Publikováno v:
ICPE
Sparse matrix-vector multiplication (SpMV) is an important kernel in many scientific, machine-learning, and other compute-intensive applications. Performance characteristics, however, depend on a complex combination of storage format, machine capabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d12fb52251afae308370b2e1518afc61
https://doi.org/10.1145/3358960.3379131
https://doi.org/10.1145/3358960.3379131
Publikováno v:
ManLang
JavaScript is the most widely used language for web programming, and now increasingly becoming popular for high performance computing, data-intensive applications, and deep learning. More recently, WebAssembly has been introduced as a typed low-level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf8aaca0daedbba4e51791577f341a4
https://doi.org/10.1145/3237009.3237020
https://doi.org/10.1145/3237009.3237020