Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wei-Chun Chiang"'
Autor:
Wei-Chun Chiang, 江惟均
97
Web Service is an ideal way for construction of distributed Intelligent Transportation System (ITS) system. However, it is feared that it can increase the brittleness of the systems, since a minor change on the server can result in different
Web Service is an ideal way for construction of distributed Intelligent Transportation System (ITS) system. However, it is feared that it can increase the brittleness of the systems, since a minor change on the server can result in different
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78027140811889922515
Autor:
Wei-chun Chiang, 江威君
94
Being the main wiping-the-string instrument of Chinese traditional musical instrument, erhu is extraordinarily good on controlling the strong or weak of voices, also on performing glide to simulate human lingual sound, therefore may easily ex
Being the main wiping-the-string instrument of Chinese traditional musical instrument, erhu is extraordinarily good on controlling the strong or weak of voices, also on performing glide to simulate human lingual sound, therefore may easily ex
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/ra3r8d
Autor:
Wei-Chun Chiang, Sue-Huei Chen
Publikováno v:
Current Psychology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ec48d13c642212d3ad44e7e8ce4b08
https://doi.org/10.1007/s12144-023-04643-9
https://doi.org/10.1007/s12144-023-04643-9
Publikováno v:
IEEE Transactions on Affective Computing. 11:85-99
This paper presents an automatic ECG-based emotion recognition algorithm for human emotion recognition. First, we adopt a musical induction method to induce participants’ real emotional states and collect their ECG signals without any deliberate la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b295900debb51c94a6ae16dcfde21766
https://doi.org/10.1109/taffc.2017.2781732
https://doi.org/10.1109/taffc.2017.2781732
Publikováno v:
Neurocomputing. 116:38-45
This paper presents an effective electrocardiogram (ECG) arrhythmia classification scheme consisting of a feature reduction method combining principal component analysis (PCA) with linear discriminant analysis (LDA), and a probabilistic neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5340abb385a798b1af31147fb261e31
https://doi.org/10.1016/j.neucom.2011.10.045
https://doi.org/10.1016/j.neucom.2011.10.045
Publikováno v:
2014 International Symposium on Computer, Consumer and Control.
This paper proposes a music emotion recognition algorithm consisting of a kernel-based class separability (KBCS) feature selection method, a nonparametric weighted feature extraction (NWFE) feature extraction method, and a hierarchical support vector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d264c50b93dcdb6ce94b227c39799bc
https://doi.org/10.1109/is3c.2014.323
https://doi.org/10.1109/is3c.2014.323
Publikováno v:
International Journal of e-Education, e-Business, e-Management and e-Learning.
The purpose of this study was to apply behavioral change courses and healthy promotion cloud system (HPCS) learning strategies to achieve and goals for vocational high school students to self-regulate their sleep hygiene. A pretest and posttest quasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e59f885390e9005427ae3838aaabb04
https://doi.org/10.7763/ijeeee.2013.v3.224
https://doi.org/10.7763/ijeeee.2013.v3.224
Publikováno v:
Bio-Inspired Computing and Applications ISBN: 9783642245527
ICIC (3)
ICIC (3)
This paper presents an effective electrocardiogram (ECG) arrhythmia classification scheme consisting of a feature reduction method combining principal component analysis (PCA) with linear discriminant analysis (LDA), and a probabilistic neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91dfd07357760ecf9ed87a3f85f373a1
https://doi.org/10.1007/978-3-642-24553-4_72
https://doi.org/10.1007/978-3-642-24553-4_72
Publikováno v:
BHI
This paper describes the design and validation of an effective sleep stage classification strategy for patients with sleep apnea. This strategy consists of a sequential forward selection (SFS) feature selection method and a decision-tree-based suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75ff45687a20bd4147170adc33f86bed
https://doi.org/10.1109/bhi.2012.6211567
https://doi.org/10.1109/bhi.2012.6211567