Výsledky vyhledávání - "wenchuan wang"

Akademický článek

A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method

Autor: Jun Wang, Wenchuan Wang, Xiao-xue Hu, Miao Gu, Yang-hao Hong, Hong-fei Zang

Publikováno v: Journal of Hydroinformatics, Vol 26, Iss 6, Pp 1425-1453 (2024)

This study proposes a hybrid model based on the combination of Sand Cat Swarm Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least Squares Method (LSM), and Markov Chain (MC) to improve the accuracy of annual runoff predic

Externí odkaz: https://doaj.org/article/5b0f4b0b382947cea7ddfa98e2955c2c

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Akademický článek

Prediction of survival and analysis of prognostic factors for patients with AFP negative hepatocellular carcinoma: a population-based study

Autor: Chengyu Liu, Zikang Li, Zhilei Zhang, Jinlong Li, Congxi Xu, Yuming Jia, Chong Zhang, Wuhan Yang, Wenchuan Wang, Xiaojuan Wang, Kuopeng Liang, Li Peng, Jitao Wang

Publikováno v: BMC Gastroenterology, Vol 24, Iss 1, Pp 1-8 (2024)

Abstract Purpose Hepatocellular carcinoma (HCC) has a poor prognosis, and alpha-fetoprotein (AFP) is widely used to evaluate HCC. However, the proportion of AFP-negative individuals cannot be disregarded. This study aimed to establish a nomogram of r

Externí odkaz: https://doaj.org/article/fa2c10b25cb748b88da9eb2318d696a8

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Akademický článek

Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition

Autor: Dong-mei Xu, An-dong Liao, Wenchuan Wang, Wei-can Tian, Hong-fei Zang

Publikováno v: Journal of Hydroinformatics, Vol 26, Iss 1, Pp 255-283 (2024)

Accurate runoff prediction is vital in efficiently managing water resources. In this paper, a hybrid prediction model combining complete ensemble empirical mode decomposition with adaptive noise, variational mode decomposition, CABES, and long short-

Externí odkaz: https://doaj.org/article/b9fe51c75912485b8d513b419995d2ee

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Akademický článek

A new stable and interpretable flood forecasting model combining multi-head attention mechanism and multiple linear regression

Autor: Yi-yang Wang, Wenchuan Wang, Kwok-wing Chau, Dong-mei Xu, Hong-fei Zang, Chang-jun Liu, Qiang Ma

Publikováno v: Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2561-2588 (2023)

This article proposes a multi-head attention flood forecasting model (MHAFFM) that combines a multi-head attention mechanism (MHAM) with multiple linear regression for flood forecasting. Compared to models based on Long Short-Term Memory (LSTM) neura

Externí odkaz: https://doaj.org/article/8fc12b807b0a4da4955c65b2e062197b

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Akademický článek

Immunogenicity and safety of a booster COVID‐19 vaccination in patients with chronic liver disease: A multicenter study

Publikováno v: Portal Hypertension & Cirrhosis, Vol 2, Iss 3, Pp 127-135 (2023)

Abstract Aim Patients with chronic liver disease (CLD), especially cirrhosis, are at a high risk of severe illness or death from coronavirus disease‐2019 (COVID‐19) and may have a suboptimal immune response to the severe acute respiratory syndrom

Externí odkaz: https://doaj.org/article/6945a256fd514f20b0ef07a11e8c1134

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Akademický článek

A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

Autor: Mingwei Ma, Zhaohang Wang, Huijuan Cui, Wenchuan Wang, Liuyuwei Jiang

Publikováno v: Water Supply, Vol 23, Iss 1, Pp 259-276 (2023)

Most previous studies on attributing climate change and human activities to streamflow variation focused only on an annual scale, while few attempts were devoted to shorter time scales, such as seasonal or monthly scales. In this study, a multi-scala

Externí odkaz: https://doaj.org/article/08abf7b7bc4042f79f6abe29c312245c

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Akademický článek

Functional Site Discovery From Incomplete Training Data: A Case Study With Nucleic Acid–Binding Proteins

Autor: Wenchuan Wang, Robert Langlois, Marina Langlois, Georgi Z. Genchev, Xiaolei Wang, Hui Lu

Publikováno v: Frontiers in Genetics, Vol 10 (2019)

Function annotation efforts provide a foundation to our understanding of cellular processes and the functioning of the living cell. This motivates high-throughput computational methods to characterize new protein members of a particular function. Res

Externí odkaz: https://doaj.org/article/d81d3c4f38a545028c65dac7443d4449

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