Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yueh-Chuan Chang"'
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 11, p e40878 (2022)
BackgroundIn recent years, the progress and generalization surrounding portable ultrasonic probes has made ultrasound (US) a useful tool for physicians when making a diagnosis. With the advent of machine learning and deep learning, the development of
Externí odkaz:
https://doaj.org/article/7b2006feb9804eaeb2b0a3b14246c212
Autor:
Yueh-Chuan Chang, 張月娟
103
In this study, the affection of learning motivation and interest of Taiwan’s junior high school students to apply multimedia integration into Chinese Literature teaching was investigated by using Action Research. Moreover, by introduction
In this study, the affection of learning motivation and interest of Taiwan’s junior high school students to apply multimedia integration into Chinese Literature teaching was investigated by using Action Research. Moreover, by introduction
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/54122839422119697551
Autor:
Yueh-Chuan Chang, 張粵川
95
Polyaniline (PANi) were synthesized by polymerization at 25℃ in various acid solutions (such as, hydrochloric acid, formic acid, acetic acid, butyric acid and hexanoic acid). Effects of acidic structure, acidic concentration and reaction ti
Polyaniline (PANi) were synthesized by polymerization at 25℃ in various acid solutions (such as, hydrochloric acid, formic acid, acetic acid, butyric acid and hexanoic acid). Effects of acidic structure, acidic concentration and reaction ti
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/73379578792496891094
Autor:
Kai-Tai Song, Yueh Chuan Chang
Publikováno v:
2018 International Automatic Control Conference (CACS).
In this paper, a pose estimation system based on visual fiducial features with multi-cameras is proposed. The system aims to provide ground truth data for mobile robot indoor localization experiments. Most of the hardware components used in this syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6ce61fcc76b9f31b9859c7afd434a8a
https://doi.org/10.1109/cacs.2018.8606773
https://doi.org/10.1109/cacs.2018.8606773
Autor:
Yi-Hsiang Chang, Brian Hsi-Lin Ho, Shih-Yang Su, Chun-Yi Lee, Sih-Pin Lai, Hsin-Wei Hsiao, Yueh-Chuan Chang, Zhang-Wei Hong, Tzu-Yun Shann, Chih-Chieh Tu, Hsuan-Kung Yang, Yu-Ming Chen, Tsu-Ching Hsiao
Publikováno v:
IJCAI
Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, and thus, recent advances in robot learning advocate the use of simulators as the training platform. Unfortunately, the reality gap betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c690e2ea3b9f610644045f38d2cdf895
https://doi.org/10.24963/ijcai.2018/682
https://doi.org/10.24963/ijcai.2018/682