Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Thannob Aribarg"'
Autor:
Noppamate Preechathammawong, Mongkon Charoenpitakchai, Nutthawat Wongsason, Julalak Karuehardsuwan, Thaninee Prasoppokakorn, Panyavee Pitisuttithum, Anapat Sanpavat, Karn Yongsiriwit, Thannob Aribarg, Parkpoom Chaisiriprasert, Sombat Treeprasertsuk, Sakkarin Chirapongsathorn
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 40, Iss 8, Pp 757-765 (2024)
Abstract Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tissue, subsequently able to progress to cirrhosis or possibly hepatocellular carcinoma. The development of artificial intelligence and deep lear
Externí odkaz:
https://doaj.org/article/b5021198d01b4e669be7c7646aba71ca
Publikováno v:
2023 International Electrical Engineering Congress (iEECON).
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 1, Pp 337-356 (2022)
Five mainland SEA countries (Cambodia, Laos, Myanmar, Vietnam, and Thailand) are threatened by climate change. Here, the latest 18 Coupled Model Intercomparison Project Phase 6 (CMIP6) is employed to examine future climate change in this region under
Publikováno v:
Theoretical and Applied Climatology. 147:669-690
In this article, we employ statistical bias-correction to examine the changing climate of the latest 18 Coupled Model Intercomparison Project Phase 6 (CMIP6) over Southeast Asia under the medium-emission (SSP2-4.5) and high-emission (SSP5-8.5) scenar
Autor:
Thannob Aribarg, Seree Supratid
Publikováno v:
Disaster Risk Reduction ISBN: 9789811660870
Thailand has a long coastline that is exposed to the impacts of climate change. The country ranks sixth in terms of the severity of projected effects of climate change due to sea level rise. The diversity of its regions is the most pronounced attribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f1caddb00b96ed56765ac5adbd45ef5
https://doi.org/10.1007/978-981-16-6088-7_10
https://doi.org/10.1007/978-981-16-6088-7_10
Publikováno v:
Water Resources Management. 31:4023-4043
For effective water resources management and planning, an accurate reservoir inflow forecast is essential not only in training and testing phases but also in particular future periods. The objective of this study is to develop a reservoir inflow inte
Publikováno v:
2017 21st International Computer Science and Engineering Conference (ICSEC).
Climate change that coincides with global warming is generating enormous damages to many countries. The 2011 large-scale floods over the Chao Phraya River Basin is the worst floods ever recorded in Thailand, and the estimated damages by World Bank at
Publikováno v:
Theoretical and Applied Climatology. 126:453-467
Artificial neural network (ANN) is an established technique with a flexible mathematical structure that is capable of identifying complex nonlinear relationships between input and output data. The present study utilizes ANN as a method of statistical
Publikováno v:
Journal of Water and Climate Change. 7:52-67
The 2011 monsoon season was exceptionally heavy, leading to extensive and long-lasting flooding in the Chao Phraya river basin. Flooding was exacerbated by rapid expansion of urban areas into flood plains and was the costliest natural disaster in the
Autor:
Thannob Aribarg, Seree Supratid
Publikováno v:
Data Mining and Big Data ISBN: 9783319618449
DMBD
DMBD
Climate Change caused by global warming is a growing public concern throughout the world. It is well accepted within the scientific community that an ensemble of different projections is required to achieve robust climate change information for a spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::def68aac90f7989c1944ff79f41a9606
https://doi.org/10.1007/978-3-319-61845-6_45
https://doi.org/10.1007/978-3-319-61845-6_45