Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Xiaoqiang Wen"'
Autor:
Yayong Yang, Feng Chen, Tianchi Shen, Agamuthu Pariatamby, Xiaoqiang Wen, Mi Yan, Ekkachai Kanchanatip
Publikováno v:
Process Safety and Environmental Protection. 173:881-892
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fe63f17524afe867b35ee3b792e4194
https://doi.org/10.1016/j.psep.2023.04.001
https://doi.org/10.1016/j.psep.2023.04.001
Autor:
Mi Yan, Xiaoqiang Wen, Yansong Sun, Zhihao Zhou, Jiahao Jiang, Ruixiong Hu, Yan Zhang, Dwi Hantoko
Publikováno v:
Process Safety and Environmental Protection. 172:157-164
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c50ba0c7f4cd5e19bb6267418180aa18
https://doi.org/10.1016/j.psep.2023.01.066
https://doi.org/10.1016/j.psep.2023.01.066
Publikováno v:
Journal of Biomaterials and Tissue Engineering. 12:2038-2043
microRNAs are key regulators of cell proliferation, apoptosis, and anti-cancer immune response. This study intends to evaluate miR-127-3p’s role in breast cancer cells (BC). After transfection, miR-156 and BZRAP1 expression was assessed by qRT-PCR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815aa9bee3b4890c85e95c48b208f993
https://doi.org/10.1166/jbt.2022.3148
https://doi.org/10.1166/jbt.2022.3148
Publikováno v:
Measurement Science and Technology.
In order to make full use of time-series data and solve the problem of low wind turbine (WT) fault diagnosis accuracy, this paper proposes a novel SE(squeeze-and-excitation)-weighted multi-scale Hedging(MSH) convolutional neural network(CNN) approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7c17d072f0586c1d9caba6c783c94b
https://doi.org/10.1088/1361-6501/acd8e1
https://doi.org/10.1088/1361-6501/acd8e1
Publikováno v:
Wind Engineering. 46:1706-1720
In this paper, the gearbox of wind turbine in a wind farm is taken as research object, and its operation condition monitoring model is established by using multivariable long-short term memory networks (LSTM). Firstly, parameters with high correlatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e2d74f79f852ad9f23e5990f404d8f
https://doi.org/10.1177/0309524x221102966
https://doi.org/10.1177/0309524x221102966
Publikováno v:
Inorganic Chemistry Communications. 153:110809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee48c36cef602abc4ff322b374654e7
https://doi.org/10.1016/j.inoche.2023.110809
https://doi.org/10.1016/j.inoche.2023.110809
Publikováno v:
Fuel Processing Technology. 245:107727
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34a10ba0040234ff503a9f63ccb69c4
https://doi.org/10.1016/j.fuproc.2023.107727
https://doi.org/10.1016/j.fuproc.2023.107727
Autor:
Meng Xie, Xiaoqiang Wen
Publikováno v:
Wind Engineering. 45:1243-1255
This paper proposed a new hybrid performance evaluation model of wind turbine (WT) based on Morlet wavelet neural network (MWNN), self-organizing map (SOM) neural network and Markov chain. All the data are collected from supervisory control and data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0348a41315e98a053e86b71409e3c9c0
https://doi.org/10.1177/0309524x20968935
https://doi.org/10.1177/0309524x20968935
Publikováno v:
Energy. 264:126171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6bce1a0eff2b65f6ea53e30c53e0bef
https://doi.org/10.1016/j.energy.2022.126171
https://doi.org/10.1016/j.energy.2022.126171
Publikováno v:
Biochemical and Biophysical Research Communications. 513:207-212
Circular RNAs (circRNAs) have recently been considered as key regulators in carcinogenesis. Nevertheless, the study of circRNAs involved in non-small cell lung cancer (NSCLC) remains largely unclear. In this study, we aim to explore the clinical sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e79a5f35d531eff8e08c9d696ee995e
https://doi.org/10.1016/j.bbrc.2019.03.213
https://doi.org/10.1016/j.bbrc.2019.03.213