Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Yu-Hsing Wang"'
Autor:
Xin Mao, Jun Kang Chow, Pin Siang Tan, Kuan-fu Liu, Jimmy Wu, Zhaoyu Su, Ye Hur Cheong, Ghee Leng Ooi, Chun Chiu Pang, Yu-Hsing Wang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we ap
Externí odkaz:
https://doaj.org/article/d86c15a5955843a886c09d5595dd32d7
Autor:
Yu-Hsing Wang, 王郁興
107
Recently plastic manufacturing is developing vigorously,nowadays factories operations have gradually substitute by machines to produce more products in faster way,in addition labors doesn't practice well in safety ability too,this cause dang
Recently plastic manufacturing is developing vigorously,nowadays factories operations have gradually substitute by machines to produce more products in faster way,in addition labors doesn't practice well in safety ability too,this cause dang
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/t2xxdy
Autor:
Jun Kang Chow, Pin Siang Tan, Kuan-fu Liu, Xin Mao, Zhaoyu Su, Ghee Leng Ooi, Ye Hur Cheong, Mei Ling Leung, Jimmy Wu, Hok Man Chan, Lai Yuk Yip, Ka Chun Chow, Yu-Hsing Wang
Publikováno v:
Theme Issue on AI for Smart Applications. 29:98-108
Two research studies have been implemented to explore the potential of applying artificial intelligence (AI) technologies in works projects and maintenance work of the Drainage Services Department (DSD) for enhancing the efficiency related to environ
Akademický článek
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Publikováno v:
European Journal of Environmental and Civil Engineering. 27:317-338
Autor:
Wai Yi Chau, Cheng Ning Loong, Yu-Hsing Wang, Siu-Wai Chiu, Tun Jian Tan, Jimmy Wu, Mei Ling Leung, Pin Siang Tan, Ghee Leng Ooi
Publikováno v:
Journal of The Royal Society Interface. 19
Measuring the three-dimensional motion of trees at every position remains challenging as it requires dynamic measurement technology with sufficient spatial and temporal resolution. Consequently, this study explores the use of a novel multi-beam flash
Publikováno v:
Acta Geotechnica. 17:1097-1110
This paper reports the use of the deep learning-based technique to characterize the particle orientation of clay samples. The U-Net model was applied to perform semantic segmentation for identifying individual kaolinite particles, based on the scanni
Autor:
Ye Hur Cheong, Kuan-fu Liu, Xin Mao, Chun Chiu Pang, Jimmy Wu, Jun Kang Chow, Zhaoyu Su, Pin Siang Tan, Ghee Leng Ooi, Yu-Hsing Wang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports
Scientific Reports
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d
Publikováno v:
Landslides. 18:1421-1443
This paper reports a feasible alternative to compile a landslide inventory map (LIM) from remote sensing datasets using the application of an artificial intelligence–driven methodology. A deep convolutional neural network model, called LanDCNN, was
Publikováno v:
European Journal of Environmental and Civil Engineering. 26:3729-3743
This study provides experimental evidence of the correlation between different fabric tensors in 2D granular assemblies subjected to shearing. Two testing assemblies with different elliptical rods ...