Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Chih-Feng Chao"'
Publikováno v:
International Journal of Civil Engineering & Building Materials. 2012, Vol. 2 Issue 3, p107-114. 8p.
Autor:
MingHuwi Horng, Chih-Feng Chao
Publikováno v:
International Journal of Digital Content Technology and its Applications. 7:898-906
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f76f622ac8931dc8f8cef8f66f2d3ef
https://doi.org/10.4156/jdcta.vol7.issue4.108
https://doi.org/10.4156/jdcta.vol7.issue4.108
Publikováno v:
Applied System Innovation: Proceedings of the 2015 International Conference on Applied System Innovation (ICASI 2015), May 22-27, 2015, Osaka, Japan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52836fc4db783f7e22a532840032ba1
https://doi.org/10.1201/b21811-25
https://doi.org/10.1201/b21811-25
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2015 (2015)
Computational and Mathematical Methods in Medicine, Vol 2015 (2015)
Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441fac06e979a2651458a55fb03236c5
http://europepmc.org/articles/PMC4383159
http://europepmc.org/articles/PMC4383159
Autor:
Chih-Feng Chao, Ming-Huwi Horng
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Computational Intelligence and Neuroscience, Vol 2015 (2015)
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f161ef62a3c623ec906892490c1cc5
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 18:138-143
This paper describes a new technique to classify and analyze the electroencephalogram (EEG) signal and recognize the EEG signal characteristics of Sleep Apnea Syndrome (SAS) by using wavelet transforms and an artificial neural network (ANN). The EEG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28d76dbe7c604fd78d816ddfcd2a5eee
https://doi.org/10.4015/s1016237206000233
https://doi.org/10.4015/s1016237206000233
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 18:119-123
To assist in the inspection of sleep-related diagnosis and research, an adaptive method for processing long-term polysomnography (PSG) is proposed in this paper. The extracted features of segmented PSG based on wavelet analysis can be used for cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::468e94a46176c6a7bbcfb5b6fbb4628e
https://doi.org/10.4015/s1016237206000208
https://doi.org/10.4015/s1016237206000208
Publikováno v:
IEICE Transactions on Information and Systems. :516-526
A mobile ad hoc network (MANET) is a self-organizing and adaptive wireless network constructed by the dynamic gathering of mobile nodes (MNs). The communication among MNs in MANETs is carried out without base stations or access points and the transmi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73774268f09993f5b18a474b52f599cd
https://doi.org/10.1093/ietisy/e89-d.2.516
https://doi.org/10.1093/ietisy/e89-d.2.516
Autor:
Chih-Feng Chao, Ying-Hong Wang
Publikováno v:
Information Sciences. 176:161-185
Mobile Ad Hoc Networks (MANETs), which provide data networking without infrastructure, represent one kind of wireless networks. A MANET is a self-organizating and adaptive wireless network formed by the dynamic gathering of mobile nodes. Due to the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8fc9518afbd4c97a3344f43afcf9274
https://doi.org/10.1016/j.ins.2004.09.016
https://doi.org/10.1016/j.ins.2004.09.016
Publikováno v:
IEEE transactions on biomedical circuits and systems. 4(4)
A real-time wireless electroencephalogram (EEG)-based brain-computer interface (BCI) system for drowsiness detection has been proposed. Drowsy driving has been implicated as a causal factor in many accidents. Therefore, real-time drowsiness monitorin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b8f0f42df8394c4de5a271dad8274b
https://pubmed.ncbi.nlm.nih.gov/23853367
https://pubmed.ncbi.nlm.nih.gov/23853367