Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Chang-Hao Chen"'
Autor:
Ning, Shupeng, Chang, Hao-Chen, Fan, Kang-Chieh, Hsiao, Po-yu, Feng, Chenghao, Shoemaker, Devan, Chen, Ray T.
In the context of continued spread of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 and the emergence of new variants, the demand for rapid, accurate, and frequent detection is increasing. Besides, the new predominant strain, Omicron varia
Externí odkaz:
http://arxiv.org/abs/2301.04754
Publikováno v:
In Sustainable Materials and Technologies December 2023 38
Autor:
Lung-Hao Lee, Chang-Hao Chen, Wan-Chen Chang, Po-Lei Lee, Kuo-Kai Shyu, Mu-Hong Chen, Ju-Wei Hsu, Ya-Mei Bai, Tung-Ping Su, Pei-Chi Tu
Publikováno v:
European Psychiatry, Vol 65 (2022)
Abstract Background Support vector machines (SVMs) based on brain-wise functional connectivity (FC) have been widely adopted for single-subject prediction of patients with schizophrenia, but most of them had small sample size. This study aimed to ev
Externí odkaz:
https://doaj.org/article/be58bdb7737d46b19f83db9204ad14ed
Publikováno v:
Journal of Medical Sciences, Vol 38, Iss 4, Pp 176-184 (2018)
Post-traumatic stress disorder (PTSD) is a complex syndrome that is defined by individual exposed to intense, life-threatening trauma thereby leading to physical and psychological abnormalities. They further develop additional symptoms including pers
Externí odkaz:
https://doaj.org/article/853c80f40fc94f3bbab7ef6859676272
Akademický článek
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Autor:
Pan Ke Wang, Sio Hang Pun, Chang Hao Chen, Elizabeth A McCullagh, Achim Klug, Anan Li, Mang I Vai, Peng Un Mak, Tim C Lei
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225138 (2019)
Recent technical advancements in neural engineering allow for precise recording and control of neural circuits simultaneously, opening up new opportunities for closed-loop neural control. In this work, a rapid spike sorting system was developed based
Externí odkaz:
https://doaj.org/article/f17c8a87034047b49c93063d705b0a04
Publikováno v:
Journal of Iron and Steel Research International. 29:1145-1151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::500bbef6898c8d990339accc914dfb9c
https://doi.org/10.1007/s42243-022-00776-6
https://doi.org/10.1007/s42243-022-00776-6
Publikováno v:
Special Topics & Reviews in Porous Media: An International Journal. 13:17-27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d067e8677a2beba44d30d8e745e4ee7
https://doi.org/10.1615/specialtopicsrevporousmedia.2022043666
https://doi.org/10.1615/specialtopicsrevporousmedia.2022043666
Publikováno v:
Electronics Letters. 56:701-704
Superparamagnetic clustering (SPC) is an unsupervised classification technique in which clusters are self-organised based on data density and mutual interaction energy. Traditional SPC algorithm uses the Swendsen–Wang Monte Carlo approximation tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1a493fb49ccafb6391f43a31790717
https://doi.org/10.1049/el.2020.0760
https://doi.org/10.1049/el.2020.0760
Autor:
Hung, Chia-Nung, Mar, Kwei, Chang, Hao-Chen, Chiang, Yi-Lun, Hu, Huai-Yun, Lai, Chia-Chi, Chu, Rei-Min, Ma, Chang M.
Publikováno v:
In Biomaterials 2011 32(29):6995-7005