Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jenn Jier James Lien"'
Autor:
Chia-Ying Lin, Shu-Mei Guo, Jenn-Jier James Lien, Tzung-Yi Tsai, Yi-Sheng Liu, Chao-Han Lai, I-Lin Hsu, Chao-Chun Chang, Yau-Lin Tseng
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images. Methods In this secondary anal
Externí odkaz:
https://doaj.org/article/d625fe2313ed4312ac46ae97d10099f1
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23704- (2024)
Background: Following surgery, perioperative pulmonary rehabilitation (PR) is important for patients with early-stage lung cancer. However, current inpatient programs are often limited in time and space, and outpatient settings have access barriers.
Externí odkaz:
https://doaj.org/article/8c853840b2044df898f2fa727d381c1e
Publikováno v:
Sensors, Vol 23, Iss 18, p 8005 (2023)
Currently, the majority of industrial metal processing involves the use of taps for cutting. However, existing tap machines require relocation to specialized inspection stations and only assess the condition of the cutting edges for defects. They do
Externí odkaz:
https://doaj.org/article/281d7aca43f248de8024172676236a4e
Publikováno v:
Sensors, Vol 23, Iss 9, p 4476 (2023)
In Industry 4.0, automation is a critical requirement for mechanical production. This study proposes a computer vision-based method to capture images of rotating tools and detect defects without the need to stop the machine in question. The study use
Externí odkaz:
https://doaj.org/article/d22ccda612f749df94d404c116634a97
Publikováno v:
Sensors, Vol 23, Iss 8, p 3961 (2023)
Nuts are the cornerstone of human industrial construction, especially A-grade nuts that can only be used in power plants, precision instruments, aircraft, and rockets. However, the traditional nuts inspection method is to manually operate the measuri
Externí odkaz:
https://doaj.org/article/17fa9b435e5947e2a8f10667913759f6
Autor:
Hsin-Chung Yin, Jenn-Jier James Lien
Publikováno v:
Sensors, Vol 23, Iss 2, p 998 (2023)
In the terms of industry, the hand-scraping method is a key technology for achieving high precision in machine tools, and the quality of scraping workpieces directly affects the accuracy and service life of the machine tool. However, most of the qual
Externí odkaz:
https://doaj.org/article/826fee3d13fe4bcaad6a41cb4949d0bc
Autor:
Chia-Ying Lin, Wen-Ruei Tang, Po-Chang Chiang, Jenn-Jier James Lien, Pei-Yi Tseng, Yi-Sheng Liu, Chao-Chun Chang, Yau-Lin Tseng
Publikováno v:
European Radiology. 33:3156-3164
Publikováno v:
Multimedia Tools and Applications. 82:21585-21609
Autor:
Minh-Tri Le, Jenn-Jier James Lien
Publikováno v:
IEEE Embedded Systems Letters. 14:199-202
Autor:
Minh-Tri Le, Jenn-Jier James Lien
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 121:1915-1926
Applying deep neural network models to robot-arm grasping tasks requires the laborious and time-consuming annotation of a large number of representative examples in the training process. Accordingly, this work proposes a two-stage grasping model, in