Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yu-Shu Ni"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5737 (2024)
In the field of automatic optical inspection (AOI), this study presents innovative strategies to enhance object detection accuracy while minimizing dependence on large annotated datasets. We initially developed a defect detection model using a datase
Externí odkaz:
https://doaj.org/article/dc09fba0361c40e794f71efe04607a4d
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 833 (2022)
To overcome the limitations of standard datasets with data at a wide-variety of scales and captured in the various conditions necessary to train neural networks to yield efficient results in ADAS applications, this paper presents a self-built open-to
Externí odkaz:
https://doaj.org/article/4aa0332306a347a9a663bbd86966f087
Autor:
Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Man-Yu Lee, Kuo Chin-Chuan, Zhe-Ln Hu, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9885c1554911caef53fe591475f5248
https://doi.org/10.1109/icmew56448.2022.9859367
https://doi.org/10.1109/icmew56448.2022.9859367
Autor:
Chia-Chi Tsai, Bo-Xun Wu, Po-Yu Chen, Jiun-In Guo, Hsien-Kai Kuo, Yu-Shu Ni, Ted T. Kuo, Jenq-Neng Hwang, Po-Chi Hu
Publikováno v:
ICMR
The 2021 embedded deep learning object detection model compression competition for traffic in Asian countries held in IEEE ICMR2021 Grand Challenges focuses on the object detection technologies in autonomous driving scenarios. The competition aims to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518eda7e5b94a68f960184654518bdba
https://doi.org/10.1145/3460426.3466932
https://doi.org/10.1145/3460426.3466932
Publikováno v:
GCCE
Electrocardiography (ECG) is a widely used noninvasive clinical tool for the diagnosis of cardiovascular disease. However, the accuracy of ECG analysis significantly affect the diagnostic error rate of cardiovascular diseases. Therefore, in recent ye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0fb8bacf95cb789a7b332e01477040b
https://doi.org/10.1109/gcce.2016.7800547
https://doi.org/10.1109/gcce.2016.7800547
Autor:
Ni, Yu-Shu1 (AUTHOR) a321andy6314.ee12@nycu.edu.tw, Chen, Wei-Lun1 (AUTHOR) wlc310581001.10@nycu.edu.tw, Liu, Yi2 (AUTHOR) yi.yl.liu@auo.com, Wu, Ming-Hsuan2 (AUTHOR) minghsuan.mh.wu@auo.com, Guo, Jiun-In1 (AUTHOR) jiguo@nycu.edu.tw
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5737. 18p.
Autor:
Ye, Zeng Jie1 zengjieye@qq.com, Liang, Mu Zi1,2, Li, Peng Fei1, Sun, Zhe3, Chen, Peng1, Hu, Guang Yun3, Yu, Yuan Liang4, Wang, Shu Ni5, Qiu, Hong Zhong5 1047052548@qq.com
Publikováno v:
Quality of Life Research. Feb2018, Vol. 27 Issue 2, p355-365. 11p. 3 Diagrams, 3 Charts.
Autor:
Ni, Yu-Shu1 (AUTHOR) ni0880125.ee08g@nctu.edu.tw, Shivanna, Vinay M.1 (AUTHOR) jiguo@nctu.edu.tw, Guo, Jiun-In1,2,3 (AUTHOR)
Publikováno v:
Remote Sensing. Feb2022, Vol. 14 Issue 4, p833. 1p.
Publikováno v:
2016 IEEE 5th Global Conference on Consumer Electronics; 2016, p1-2, 2p