Zobrazeno 1 - 10
of 112 063
pro vyhledávání: '"Chien P"'
Autor:
Huu Duy Nguyen, Dinh Kha Dang, Nhu Y Nguyen, Chien Pham Van, Thi Thao Van Nguyen, Quoc-Huy Nguyen, Xuan Linh Nguyen, Le Tuan Pham, Viet Thanh Pham, Quang-Thanh Bui
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 1, Pp 284-304 (2024)
Flood prediction is an important task, which helps local decision-makers in taking effective measures to reduce damage to the people and economy. Currently, most studies use machine learning to predict flooding in a given region; however, the extrapo
Externí odkaz:
https://doaj.org/article/33dda3f3e3b54d07bdbb371b349d43e5
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 12, Pp 4356-4375 (2023)
This study presents a sediment rating curve (SRC), multiple regression (MR), and long short-term memory (LSTM) model for estimating daily suspended sediment concentration (SSC). The data of daily SSC at Yen Thuong and daily flow at five locations in
Externí odkaz:
https://doaj.org/article/f4b53454ab874f65bedca249a79da657
Publikováno v:
Journal of Hepatocellular Carcinoma, Vol Volume 10, Pp 2383-2395 (2023)
Hang-Tsung Liu,1,* Cheng-Shyuan Rau,2,* Yueh-Wei Liu,3 Ting-Min Hsieh,1 Chun-Ying Huang,1 Peng-Chen Chien,4 Hui-Ping Lin,4 Chia-Jung Wu,4 Pei-Chin Chuang,5 Ching-Hua Hsieh4 1Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital
Externí odkaz:
https://doaj.org/article/af83592ca20d46dbb8f5e7ffc0909cb5
Autor:
Van Ha Tang, Soan T. M. Duong, Chanh D. Tr. Nguyen, Thanh M. Huynh, Vo T. Duc, Chien Phan, Huyen Le, Trung Bui, Steven Q. H. Truong
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Early detection of liver malignancy based on medical image analysis plays a crucial role in patient prognosis and personalized treatment. This task, however, is challenging due to several factors, including medical data scarcity and limited
Externí odkaz:
https://doaj.org/article/ee5d1ee07edb49b6b61dcd286702fe22
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 4, Pp 1247-1267 (2023)
The objective of this study is the development of a state-of-the-art method based on long short-term memory (LSTM), support vector machine (SVM), and random forest (RF) to predict the streamflow in the Mekong Delta in Vietnam, an area crucial to Viet
Externí odkaz:
https://doaj.org/article/1ad9343484d1455fa1464d0078a898e4
Autor:
Chien Pham Van, Hien Le
Publikováno v:
Water Practice and Technology, Vol 18, Iss 1, Pp 215-230 (2023)
This paper presents the long short-term memory (LSTM), rating curve (RC), and rainfall–runoff model that can be used for estimating the daily flow at the outlet of river basins. The Hieu river basin in Vietnam is selected as an example for demonstr
Externí odkaz:
https://doaj.org/article/87285fd890ec42a7a402980531165d4f
Autor:
Chien Pham Van, Doanh Nguyen-Ngoc
Publikováno v:
Water Supply, Vol 22, Iss 12, Pp 8587-8602 (2022)
In this context, multiple linear regression (MLR) and long short-term memory (LSTM) are presented to evaluate water levels in irrigation and drainage systems based on the available water levels at inlet and outlet locations. The Bac Hung Hai irrigati
Externí odkaz:
https://doaj.org/article/927626cbb5f84b878d434587739d92e3
Publikováno v:
Journal of Inflammation Research, Vol Volume 15, Pp 5491-5503 (2022)
Cheng-Shyuan Rau1 *, Pao-Jen Kuo2 *, Hui-Ping Lin,2 Chia-Jung Wu,2 Yi-Chan Wu,2 Peng-Chen Chien,2 Ting-Min Hsieh,3 Hang-Tsung Liu,3 Chun-Ying Huang,3 Ching-Hua Hsieh2 1Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Cha
Externí odkaz:
https://doaj.org/article/9276a8e94ac5481e98167c5d95d3bbd5
Publikováno v:
Journal of Inflammation Research, Vol Volume 15, Pp 761-773 (2022)
Johnson Chia-Shen Yang,1,2 Lien-Hung Huang,1,2 Shao-Chun Wu,3,4 Yi-Chan Wu,1,4 Chia-Jung Wu,1,4 Chia-Wei Lin,1,4 Pei-Yu Tsai,1,4 Peng-Chen Chien,1,4 Ching-Hua Hsieh1,2 1Division of Plastic and Reconstructive Surgery, Department of Surgery, Kaohsiung
Externí odkaz:
https://doaj.org/article/b0352226863646619dd1b5ae0ffab6c2
Autor:
Klemm, Mason L., Siddique, Saif, Chang, Yuan-Chun, Xu, Sijie, Xie, Yaofeng, Legvold, Tanner, Kiani, Mehrdad T., Ye, Feng, Cao, Huibo, Hao, Yiqing, Tian, Wei, Luetkens, Hubertus, Matsuda, Masaaki, Natelson, Douglas, Guguchia, Zurab, Huang, Chien-Lung, Yi, Ming, Cha, Judy J., Dai, Pengcheng
Two-dimensional (2D) kagome lattice metals are interesting because they display flat electronic bands, Dirac points, Van Hove singularities, and can have interplay between charge density wave (CDW), magnetic order, and superconductivity. In kagome la
Externí odkaz:
http://arxiv.org/abs/2410.13994