Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Kun-Ching Wang"'
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7216 (2022)
In a clinical context, there are increasing numbers of people with voiding dysfunction. To date, the methods of monitoring the voiding status of patients have included voiding diary records at home or urodynamic examinations at hospitals. The former
Externí odkaz:
https://doaj.org/article/5e518334232a41ce9ba948a50f9429ec
Autor:
Wei-Peng Tang, Sze-Teng Liong, Chih-Cheng Chen, Ming-Han Tsai, Ping-Cheng Hsieh, Yu-Ting Tsai, Shih-Hsin Chen, Kun-Ching Wang
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9473 (2021)
With the advancement of industrial intelligence, defect recognition has become an indispensable part of facilitating surface quality in the steel manufacturing process. To assure product quality, most previous studies were typically trained with many
Externí odkaz:
https://doaj.org/article/bb60a4532f3b4781a6d663ae2d4b00ae
Autor:
Kun-Ching Wang
Publikováno v:
Entropy, Vol 22, Iss 2, p 183 (2020)
A robust approach for the application of audio content classification (ACC) is proposed in this paper, especially in variable noise-level conditions. We know that speech, music, and background noise (also called silence) are usually mixed in the nois
Externí odkaz:
https://doaj.org/article/bdf40359a69c499c80290210d20f25d4
Autor:
Kun-Ching Wang
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 1458-1478 (2015)
The classification of emotional speech is mostly considered in speech-related research on human-computer interaction (HCI). In this paper, the purpose is to present a novel feature extraction based on multi-resolutions texture image information (MRTI
Externí odkaz:
https://doaj.org/article/4ca41200ad4049f08be29e3fdb342df7
Autor:
Kun-Ching Wang
Publikováno v:
Sensors, Vol 14, Iss 9, Pp 16692-16714 (2014)
In this paper, we present a novel texture image feature for Emotion Sensing in Speech (ESS). This idea is based on the fact that the texture images carry emotion-related information. The feature extraction is derived from time-frequency representatio
Externí odkaz:
https://doaj.org/article/12211b5fd92f49a8bb4a6c292797c493
Autor:
Kun-Ching Wang
Publikováno v:
Sensors, Vol 13, Iss 12, Pp 16533-16550 (2013)
In order to develop a novel voice sensor to detect human voices, the use of features which are more robust to noise is an important issue. Voice sensor is also called voice activity detection (VAD). Due to that the inherent nature of the formant stru
Externí odkaz:
https://doaj.org/article/7c92c288f5ce4a74967b0fedb0da5ccb
Publikováno v:
International Journal of Control, Automation and Systems. 18:2411-2422
In this study, we consider a parametric uncertain Lotka-Volterra cancer model including three interacting cell populations of tumor cells, healthy host cells and immune effector cells. The biological parameter (i.e., cell growth rate) is described as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83c2324a68233c73cc624e9aaf506913
https://doi.org/10.1007/s12555-019-0291-2
https://doi.org/10.1007/s12555-019-0291-2
Publikováno v:
ICSSE
Intelligent fault diagnosis (IFD) plays an important role to increase the safety and reliability of rotating machinery. In recent years, there is a large number of deep-learning-based algorithms applied to IFD. Many studies have shown that the one-di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772708b0477d36bbbdef5e2dc26bcf61
https://doi.org/10.1109/icsse52999.2021.9538454
https://doi.org/10.1109/icsse52999.2021.9538454
Publikováno v:
Sensors & Materials; 2021, Vol. 33 Issue 11,Part 3, p4031-4044, 14p
Autor:
Chaoming Huang, Jie Li, Xin Wang, Jianbin Liao, Hongliang Yu, Chih-Cheng Chen, Kun-Ching Wang
Publikováno v:
Sensors & Materials; 2021, Vol. 33 Issue 7, Part 1, p2365-2383, 19p