Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mingcheng Chen"'
Autor:
Mingcheng Chen, Xiuping Yao
Publikováno v:
Climate Dynamics. 60:2405-2418
By using multiple sets of assimilation and reanalysis data, the spatial distribution and temporal evolution of the precipitation over the Tibetan Plateau (TP) in boreal summer are investigated. The results show that, the climatological precipitation
Autor:
Mingcheng Chen, Tim Li
Publikováno v:
Climate Dynamics. 56:3569-3579
Through an oceanic mixed-layer heat budget analysis, the dominant processes contributing to the largest decay rate (− 0.37 °C/mon) in EP El Nino, the moderate delay rate (− 0.22 °C/mon) in CP El Nino and the smallest decay rate (0.13 °C/mon) i
Autor:
Chao-Yang Lu, Feng-Ming Liu, Mingcheng Chen, Can Wang, Shaowei Li, Zhong-Xia Shang, Chong Ying, Jian-Wen Wang, Cheng-Zhi Peng, Xiaobo Zhu, Jian-Wei Pan
The past half century has witnessed the rapid development of integrated circuits from several to billions of electronic components, where a crucial enabling method was the electronic computer-aided design. Similarly, simulations of the quantum electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f751425a75565a6e1f193f2cf1c0eee2
https://doi.org/10.21203/rs.3.rs-903650/v1
https://doi.org/10.21203/rs.3.rs-903650/v1
Autor:
Handong Ma, Zhecheng Dong, Mingcheng Chen, Wenbo Sheng, Yao Li, Weinan Zhang, Shaodian Zhang, Yong Yu
Publikováno v:
Journal of Biomedical Informatics. 134:104210
Venous thromboembolism (VTE) is the world's third most common cause of vascular mortality and a serious complication from multiple departments. Risk assessment of VTE guides clinical intervention in time and is of great importance to in-hospital pati
Autor:
Guang Ning, Zhiyun Zhao, Yufang Bi, Jieli Lu, Min Xu, Weiqing Wang, Mingcheng Chen, Yanru Qu, Zhenghui Wang, Xiawei Guo, Yong Yu, Wei-Wei Tu, Jian Shen, Mian Li, Tiange Wang, Weinan Zhang, Yu Xu
Diabetes prediction is an important data science application in the social healthcare domain. There exist two main challenges in the diabetes prediction task: data heterogeneity since demographic and metabolic data are of different types, data insuff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8acb25c74f47755182927e65245282e
http://arxiv.org/abs/2108.07107
http://arxiv.org/abs/2108.07107
Publikováno v:
Climate Dynamics. 54:1351-1366
Amplitude of El Nino and La Nina was significantly different during 1980–2016 but almost same during 1958–1979. The cause of this interdecadal change is investigated through an oceanic mixed-layer heat budget analysis. It was found that this inte
Publikováno v:
Journal of Meteorological Research. 33:826-836
The mechanism for asymmetric atmospheric responses to the central Pacific (CP) El Nino and La Nina over the western North Pacific (WNP) is studied in this paper. The negative anomalies of rainfall over the key region of WNP are explained by diagnosin
Publikováno v:
Climate Dynamics. 53:3957-3969
The cause of asymmetric atmospheric circulation responses over the tropical western North Pacific (WNP) to El Nino and La Nina was investigated through observational analyses and idealized modeling experiments. Firstly, column integrated moisture and
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030864859
ECML/PKDD (1)
ECML/PKDD (1)
Offline Reinforcement Learning (RL) aims at learning effective policies by leveraging previously collected datasets without further exploration in environments. Model-based algorithms, which first learn a dynamics model using the offline dataset and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db3492252b6d5e53aad7e8eb543a59a6
https://doi.org/10.1007/978-3-030-86486-6_11
https://doi.org/10.1007/978-3-030-86486-6_11
Autor:
Liang Ning, Fei Liu, Jian Liu, Deliang Chen, Mingcheng Chen, Zhiyuan Wang, Weiyi Sun, Bin Wang
Publikováno v:
Climate Dynamics. 52:7495-7509
Using an ensemble of nine El Nino/Southern Oscillation (ENSO) reconstructed proxies and volcano eruption proxies for the past 1500 years, this study shows that a significant La Nina state emerges in the second year (year (2) hereafter) after large tr