Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Cheng-En Chiang"'
Autor:
Yu-Jung Tsai, Yi-Che Huang, En-Chung Lin, Sheng-Chieh Lai, Xu-Chu Hong, Jonas Tsai, Cheng-En Chiang, Yan-Fu Kuo
Publikováno v:
Frontiers in Animal Science, Vol 5 (2024)
Pig farming is a major sector of livestock production. The preweaning stage is a critical period in the pig farming process, where lactation-related behaviors between sows and their piglets directly influence the preweaning survivability of the pigle
Externí odkaz:
https://doaj.org/article/372597cf293e4de8984073b78282e627
Autor:
Tzu-Hui Wu, Cheng-En Chiang, Da-Jeng Yao, Hong-Yuan Huang, Pei-Jhen Lu, Kai-Ti Lin, Chien-An Chen, Yi-Wen Wang, Anand Baby Alias, Pei-Shin Jiang
Publikováno v:
Microfluidics and Nanofluidics. 24
The current technique for the detection of fetus genotype by in-vitro fertilization (IVF) is quite expensive and is unsuitable/ inconvenient for all patients and even affects the embryonic growth cycle. We thus propose a new method to extract small a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b81029a7cba1fba7e0e6bc37ffb99a
https://doi.org/10.1007/s10404-020-02361-3
https://doi.org/10.1007/s10404-020-02361-3
Autor:
Tzu-Hui Wu, Kai-Ti Lin, Pei-Shin Jiang, Da-Jeng Yao, Hong-Yuan Huang, Anand Baby Alias, Yi-Wen Wang, Cheng-En Chiang, Chien-An Chen, Pei-Jhen Lu
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
As scientific and technical knowledge advances, research on biomedical micro-electromechanical systems (bio-MEMS) is also developing towards lab-on-a-chip (LOC) devices. A digital microfluidic (DMF) system specialized for an electrowetting- on-dielec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0013cf39fa60363eec6da4d4a714bb8
https://doi.org/10.1038/s41598-020-66779-z
https://doi.org/10.1038/s41598-020-66779-z
Publikováno v:
CVPR Workshops
Vehicle re-identification (Re-ID) is fundamentally challenging due to the difficulties in data labeling, visual domain mismatch between datasets and diverse appearance of the same vehicle. We propose the adaptive feature learning technique based on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98fd9540925b26a9961d78d2df82457
https://doi.org/10.1109/cvprw.2018.00024
https://doi.org/10.1109/cvprw.2018.00024