Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Shengchen Li"'
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/2119b87187d84bd5a6d74f1eb6a9adfb
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 2, Pp 515-525 (2022)
Based on the hourly rainfall data and other conventional data from 52 surface weather stations， and the National Centers for Environmental Prediction （NCEP） Final Analysis （FNL） data， the synoptic circulation patterns for the short-time h
Externí odkaz:
https://doaj.org/article/2a1581ea276b44d1983c2c6bb20caf76
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 2, Pp 526-540 (2022)
This study aims to analyze the forming conditions and characteristics of torrential rain in Qinghai Plateau from 2007 to 2017 based on data from 52 regional automatic weather stations in Qinghai Province， ERA-interim 1°×1° and FY-2 TBB database.
Externí odkaz:
https://doaj.org/article/edc8739c8c064d41a103d75c1ff47902
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11792 (2022)
The rules of heat transfer and fluid flow in plate-fin heat exchanger are intricate and complex, and the selection of boundary conditions is the key to giving full play to the performance of heat exchanger. In this paper, a multi-objective optimizati
Externí odkaz:
https://doaj.org/article/6409a9dda7e345a99f820080de0f05d6
Autor:
Shengchen Li, Ke Tian
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
This paper proposes an unsupervised way for Phonocardiogram (PCG) analysis, which uses a revised auto encoder based on distribution density estimation in the latent space. Auto encoders especially Variational Auto-Encoders (VAEs) and its variant β
Externí odkaz:
https://doaj.org/article/5f489fb93c1a44bc9a373cbad021e7db
Publikováno v:
Ceramics International. 48:30468-30481
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e2fea2447b911b489df2aae318e6b5
https://doi.org/10.1016/j.ceramint.2022.06.327
https://doi.org/10.1016/j.ceramint.2022.06.327
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 121:5617-5634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305eeba03a74f3abe79112a38443c189
https://doi.org/10.1007/s00170-022-09670-7
https://doi.org/10.1007/s00170-022-09670-7
Autor:
Sanmei Liu, Yanping Yang, Weiming Xiao, Siyao Xia, Caiju Jin, Wen Wang, Shengchen Li, Minli Zhong, Shuhua Wang, Chao Chen
Publikováno v:
International Journal of Hydrogen Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf685dfbf1092110b289827c83f717a7
https://doi.org/10.1016/j.ijhydene.2023.05.050
https://doi.org/10.1016/j.ijhydene.2023.05.050
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Change detection (CD) aims to identify surface changes from bitemporal images. In recent years, deep learning (DL)-based methods have made substantial breakthroughs in the field of CD. However, CD results can be easily affected by external factors, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcfe8b5bf3e97b372acbe79f844a7194
https://doi.org/10.1109/tgrs.2021.3085870
https://doi.org/10.1109/tgrs.2021.3085870
Publikováno v:
Applied Organometallic Chemistry. 37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4935a844999aa55305fc61e416a98ec9
https://doi.org/10.1002/aoc.7051
https://doi.org/10.1002/aoc.7051