Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chien-Wen Cho"'
Autor:
Chien-Wen Cho, 卓千妏
102
Recently, global warming gave rise to serious effects in human’s life. Meat-processing industry and animal husbandry were the ringleaders resulted in the greenhouse gas emission. By the trying of carry out weekly “No-meat day” of schoo
Recently, global warming gave rise to serious effects in human’s life. Meat-processing industry and animal husbandry were the ringleaders resulted in the greenhouse gas emission. By the trying of carry out weekly “No-meat day” of schoo
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/76478396137244477888
Publikováno v:
Atmospheric Environment. 104:256-263
Land use regression (LUR) models have been developed and applied to evaluate long-term exposure to air pollutants in residential area. However, adopting LUR models for vertical distributions of PM 2.5 elemental composition has not been studied extens
Autor:
S. Y. Chen, Sheng Huang Lin, Chin-Hsing Chen, Sheng-Tsung Tsai, Fu-Shan Jaw, Hsin Yi Lai, Yu Chun Lo, Wen-Tzeng Huang, You Yin Chen, Chien-Wen Cho, Siny Tsang, Yuan-Jen Chang
Publikováno v:
Expert Systems with Applications. 39:520-526
Parkinson's Disease (PD) is a common neurodegenerative disorder with progressive loss of dopaminergic and other sub-cortical neurons. Among various approaches, gait analysis is commonly used to help identify the biometric features of PD. There have b
Publikováno v:
Expert Systems with Applications. 36:7033-7039
Recognition of specific Parkinsonian gait patterns is helpful in the diagnosis of Parkinson's disease (PD). However, there are few computer-aided methods to identify the specific gait patterns of PD. We propose a vision-based diagnostic system to aid
Publikováno v:
Journal of Neuroscience Methods. 175:206-217
The purpose of this study was to improve the accuracy rate of brain tissue classification in magnetic resonance (MR) imaging using a boosted decision tree segmentation algorithm. Herein, we examined simulated phantom MR (SPMR) images, simulated brain
Autor:
Jyh-Yeong Chang, Chien-Wen Cho
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 33:421-428
Bidirectional associative memory (BAM) generalizes the associative memory (AM) to be capable of performing two-way recalling of pattern pairs. Asymmetric bidirectional associative memory (ABAM) is a variant of BAM relaxed with connection weight symme
Autor:
Chien-Wen Cho, Jyh-Yeong Chang
Publikováno v:
Journal of the Chinese Institute of Engineers. 25:297-307
This paper proposes a two-stage scene analysis scheme using a combined fuzzy logic-based technique. The first stage begins with generating fuzzy rules to describe the scene. Based on these fuzzy classification rules, each image pixel is inferred and
Publikováno v:
PeerJ, Vol 10, p e13636 (2022)
Aims To investigate the quality of care and prescription patterns of patients with diabetic kidney disease (DKD) receiving primary care at local clinics in Taiwan. Methods A retrospective chart review was conducted in 43 primary care clinics in Taiwa
Externí odkaz:
https://doaj.org/article/c35b5740f66a48678d19e144d215948a
Publikováno v:
CCA/ISIC
Human activity recognition plays an essential role in e-health applications, such as automatic nursing home systems, human-machine interface, home care system, and smart home applications. Many of human activity recognition systems only used the post
Autor:
Jyh-Yeong Chang, Chien-Wen Cho
Publikováno v:
2007 IEEE Intelligent Vehicles Symposium.
Vision-based driver assistant systems are very promising in intelligent transportation system (ITS); however, algorithms capable of describing traffic scene images are still very difficult to date. This paper proposes a system which can segment forwa