Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Qingxiong Tan"'
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32412- (2024)
The increasing penetration of high-volatility renewable energy sources in the power system presents higher demands for flexibility from coal-fired power plant (CFPP). To enhance the flexibility of CFPPs, researchers have conducted a significant amoun
Externí odkaz:
https://doaj.org/article/d99180068bc046a497c8cf2a02bab0a1
Autor:
Grace Lai-Hung Wong, Vicki Wing-Ki Hui, Qingxiong Tan, Jingwen Xu, Hye Won Lee, Terry Cheuk-Fung Yip, Baoyao Yang, Yee-Kit Tse, Chong Yin, Fei Lyu, Jimmy Che-To Lai, Grace Chung-Yan Lui, Henry Lik-Yuen Chan, Pong-Chi Yuen, Vincent Wai-Sun Wong
Publikováno v:
JHEP Reports, Vol 4, Iss 3, Pp 100441- (2022)
Background & Aims: Accurate hepatocellular carcinoma (HCC) risk prediction facilitates appropriate surveillance strategy and reduces cancer mortality. We aimed to derive and validate novel machine learning models to predict HCC in a territory-wide co
Externí odkaz:
https://doaj.org/article/39124265173a48f2b202dc2ef1fce864
Publikováno v:
Advances in Meteorology, Vol 2017 (2017)
Hybrid Ensemble Empirical Mode Decomposition (EEMD) and Least Square Support Vector Machine (LSSVM) is proposed to improve short-term wind speed forecasting precision. The EEMD is firstly utilized to decompose the original wind speed time series into
Externí odkaz:
https://doaj.org/article/1106e48d38af417c869912a0904cab30
Publikováno v:
IEEE Transactions on Cybernetics. 52:3394-3407
Medical time series of laboratory tests has been collected in electronic health records (EHRs) in many countries. Machine-learning algorithms have been proposed to analyze the condition of patients using these medical records. However, medical time s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93551633177bcb08e3832c5fecb82c21
https://doi.org/10.1109/tcyb.2020.3011934
https://doi.org/10.1109/tcyb.2020.3011934
Autor:
Guanlin Li, Grace Lai-Hung Wong, Terry Cheuk-Fung Yip, Qingxiong Tan, Huapeng Lin, Jonathan Matthew Wilson, Lenden M Bowsman, Joseph V Haas, Anthony Wing-Hung Chan, Howard Ho-Wai Leung, Xinrong Zhang, Yee-Kit Tse, Sally She-Ting Shu, Angel Mei-Ling Chim, Henry Lik-Yuen Chan, Pong Chi Yuen, Vincent Wai-Sun Wong, Kevin L. Duffin, Yu Chen
Background: A number of protein biomarkers have been proposed for the assessment of non-alcoholic fatty liver disease (NAFLD), but few have been externally validated and directly compared. The aim of this study was to compare the diagnostic accuracie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9b3fef1e7201d42071066eede5d386
https://doi.org/10.21203/rs.3.rs-2118271/v1
https://doi.org/10.21203/rs.3.rs-2118271/v1
Publikováno v:
J Am Med Inform Assoc
Objective Accurate risk prediction is important for evaluating early medical treatment effects and improving health care quality. Existing methods are usually designed for dynamic medical data, which require long-term observations. Meanwhile, importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57f60e093a1488889ba0a189cf38fd52
https://doi.org/10.1093/jamia/ocaa306
https://doi.org/10.1093/jamia/ocaa306
Autor:
Yunxiang Li, Yumeng Wei, Sheng Xu, Qingxiong Tan, Licheng Zong, Jiuming Wang, Yixuan Wang, Jiayang Chen, Liang Hong, Yu Li
Motivation As an important group of proteins discovered in phages, anti-CRISPR inhibits the activity of the immune system of bacteria (i.e. CRISPR-Cas), offering promise for gene editing and phage therapy. However, the prediction and discovery of ant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626602a8d020501e3bf0ac57a4191c59
https://doi.org/10.1101/2022.04.02.486820
https://doi.org/10.1101/2022.04.02.486820
Autor:
Pong C. Yuen, Terry Cheuk-Fung Yip, Baoyao Yang, Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, Andy J. Ma, Siqi Liu
Publikováno v:
AAAI
Web of Science
Web of Science
Due to the discrepancy of diseases and symptoms, patients usually visit hospitals irregularly and different physiological variables are examined at each visit, producing large amounts of irregular multivariate time series (IMTS) data with missing val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9bb539b1f114fb2d720a2bc78b505f6
https://doi.org/10.1609/aaai.v34i01.5440
https://doi.org/10.1609/aaai.v34i01.5440
Signal peptide is a short peptide located in the N-terminus of proteins. It plays an important role in targeting and transferring transmembrane proteins and secreted proteins to correct positions. Compared with traditional experimental methods to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a35b3e3c31402d32be041a276538d8
https://doi.org/10.1101/2021.11.04.467361
https://doi.org/10.1101/2021.11.04.467361
Publikováno v:
IJCAI
Due to the dynamic health status of patients and discrepant stability of physiological variables, health data often presents as irregular multi-rate multivariate time series (IMR-MTS) with significantly varying sampling rates. Existing methods mainly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6ac4f1dddd52b020bb6237b15602ea5
https://doi.org/10.24963/ijcai.2021/219
https://doi.org/10.24963/ijcai.2021/219