Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Chen, Shu wang"'
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
This research presents a sophisticated model aimed at detecting COVID-19 related misinformation in Traditional Chinese, a critical response to the swift spread of fake news during the pandemic. The model employs an ensemble model of machine learning
Externí odkaz:
https://doaj.org/article/91acef5da3e44d15a19c3333f3f5acc2
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35468- (2024)
This study investigates the rampant spread of offensive and derogatory language during the COVID-19 pandemic and aims to mitigate it through machine learning. Employing advanced Large Language Models (LLMs), the research develops a sophisticated fram
Externí odkaz:
https://doaj.org/article/4ee91565352c4e1b95126d1c97db9380
Autor:
Chun-Jung Juan, Chen-Shu Wang, Bo-Yi Lee, Shang-Yu Chiang, Chun-Chang Yeh, Der-Yang Cho, Wu-Chung Shen
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 7, Pp 109-116 (2021)
Cervical spondylosis is a kind of degenerative disease which not only occurs in elder patients. The age distribution of patients is unfortunately decreasing gradually. Magnetic Resonance Imaging (MRI) is the best tool to confirm the cervical spondylo
Externí odkaz:
https://doaj.org/article/9ef60c09df4241ea87f7a924be0be5c3
Publikováno v:
In Journal of Applied Geophysics May 2021 188
Autor:
JIA Wei-guang, XIN Hou-tian, LI Yong-fei, LIU Qi, SHA De-ming, XING De-he, SUN Zhong-ren, CHEN Shu-wang
Publikováno v:
Geology & Resources; Aug2024, Vol. 33 Issue 4, p403-492, 15p
Autor:
Sun, Shou-Liang1 (AUTHOR) sunshouliang@mail.cgs.gov.cn, Chen, Shu-Wang1 (AUTHOR) chenshuwang@mail.cgs.gov.cn, Yang, Zhong-Jie2 (AUTHOR) chenshuwang@mail.cgs.gov.cn, Zhang, Tao1 (AUTHOR) liyongfei@mail.cgs.gov.cn, Li, Yong-Fei1 (AUTHOR) zhengyuejuan@mail.cgs.gov.cn, Zhu, Ji-Chang3 (AUTHOR) zhujc@mail.iggcas.ac.cn, Wu, Huai-Chun4 (AUTHOR) whcgeo@cugb.edu.cn, Wang, Tian-Tian4 (AUTHOR) tianwang@cugb.edu.cn, Zheng, Yue-Juan1 (AUTHOR) dingqiuhong@mail.cgs.gov.cn, Ding, Qiu-Hong1 (AUTHOR)
Publikováno v:
Minerals (2075-163X). Aug2022, Vol. 12 Issue 8, p953-953. 18p.
Autor:
Chen-Shu Wang, Jui-Yen Chang
Publikováno v:
Applied Sciences, Vol 9, Iss 10, p 2075 (2019)
In practice, single item support cannot comprehensively address the complexity of items in large datasets. In this study, we propose a big data analytics framework (named Multiple Item Support Frequent Patterns, MISFP-growth algorithm) that uses Hado
Externí odkaz:
https://doaj.org/article/435801cb32ad413994eff7a1346cbeab
Autor:
Chen-Shu Wang, Yean-Lin Lee
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811995811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6118847682ff461746c1c4670bc7e2b
https://doi.org/10.1007/978-981-19-9582-8_23
https://doi.org/10.1007/978-981-19-9582-8_23
Publikováno v:
Computers in Human Behavior. 101:495-505
Many nations have successfully implemented their own e-Government systems in response to changes in many subjective and objective environments. However, different government agencies now hold a tremendous quantity of client data and have encountered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b10a9145701c1160b163b6fa0841f99
https://doi.org/10.1016/j.chb.2018.10.015
https://doi.org/10.1016/j.chb.2018.10.015
Publikováno v:
Geology & Resources; Jun2022, Vol. 31 Issue 3, p367-374, 8p, 1 Chart