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pro vyhledávání: '"Y.M Lo"'
Akademický článek
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Publikováno v:
Applied Energy. 339:120953
Modern coupled power and water (CPW) systems exhibit increasing integration and interdependence, which challenges system performance to disasters and makes service restoration complex during post-disruption. Meanwhile, new technologies, such as small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334d098898a0afba268e27290e3d6bc9
https://doi.org/10.1016/j.apenergy.2023.120953
https://doi.org/10.1016/j.apenergy.2023.120953
Publikováno v:
Environment and Planning B: Urban Analytics and City Science. 48:1011-1024
The Pearl River Delta metropolitan region is one of the most densely urbanized megapolises worldwide with high exposure to weather-related disasters such as storms, storm surges and river floods. Shenzhen megacity has been the fastest growing city in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43664aa6394b56c9b97fb400df619454
https://doi.org/10.1177/2399808321991540
https://doi.org/10.1177/2399808321991540
Autor:
Pradeep V. Mandapaka, Edmond Y.M. Lo
Publikováno v:
Journal of Hydrometeorology. 21:2963-2977
We evaluated the Integrated Multi-satellite Retrievals for GPM (IMERG) V06B Early and Final Run products using data from a dense gauge network in Singapore as ground reference (GR). The evaluation is carried out at monthly, daily, and hourly scales,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a55e99b382430b9faf9d4d5c209957
https://doi.org/10.1175/jhm-d-20-0135.1
https://doi.org/10.1175/jhm-d-20-0135.1
Publikováno v:
Neurocomputing. 414:143-152
In spite of the state-of-the-art performance of deep neural networks, shallow neural networks are still the choice in applications with limited computing and memory resources. Convolutional neural network (CNN), in particular the one-convolutional-la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fedad8e0aa1eefb98e1c0f94fe2ddbf0
https://doi.org/10.1016/j.neucom.2020.07.049
https://doi.org/10.1016/j.neucom.2020.07.049
Recently, one emerging problem in Named Entity Typing (NET) is the fine-grained classification of task-related entities co-existing with task-unrelated entities. The traditional pipeline framework decomposes this problem into two sub-tasks. The first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2dcbf6e1cc489935f9162f09b670194
https://hdl.handle.net/10356/162082
https://hdl.handle.net/10356/162082
Akademický článek
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Publikováno v:
Journal of Hydro-environment Research. 27:75-86
The diurnal circulation pattern is deduced in Kranji Reservoir, a shallow, elongated tropical reservoir in Singapore via field observations and results from the 3-D Estuary, Lake, and Coastal Ocean Model (ELCOM) model for the month of July 2012 which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1958029287889c45d5b665ff41e50760
https://doi.org/10.1016/j.jher.2019.09.002
https://doi.org/10.1016/j.jher.2019.09.002
Publikováno v:
Remote Sensing of Night-time Light ISBN: 9781003169246
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::290d67dca49d036d4c774ab0e01fa506
https://doi.org/10.4324/9781003169246-12
https://doi.org/10.4324/9781003169246-12
Storm surges caused by tropical cyclones (TCs) are one of the costliest threats to coastal communities in southern China. Numerical surge models remain computationally challenging when used to simulate the large number of TC events required for proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9396fe165c9db8f0b5fff9a357da796
https://hdl.handle.net/10356/155434
https://hdl.handle.net/10356/155434