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Shih-Hau Fang

Showing results (1-10 of 19) with videos related to

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IEEE Transactions on Neural Networks|November 13, 2008
Indoor location system based on discriminant-adaptive neural network in IEEE 802.11 environmentsShih-Hau Fang, Tsung-Nan Lin
Sensors (Basel, Switzerland)|September 9, 2022
Using SincNet for Learning Pathological Voice DisordersChao-Hsiang Hung, Syu-Siang Wang, Chi-Te Wang, et al.
The Laryngoscope|June 12, 2024
AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical RecordsChi-Te Wang, Tsai-Min Chen, Nien-Ting Lee, et al.
JMIR Mhealth and Uhealth|December 3, 2020
Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development and ValidationChi-Te Wang, Ji-Yan Han, Shih-Hau Fang, et al.
IEEE Open Journal of Engineering in Medicine and Biology|April 11, 2022
Continuous Speech for Improved Learning Pathological Voice DisordersSyu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, et al.
Cognitive Neurodynamics|February 6, 2026
Design of intelligent neuro-supervised deep learning networks to analyze brain electrical activity rhythms of Parkinson's disease modelSana Ullah Saqib, Shih-Hau Fang, Muhammad Asif Zahoor Raja, et al.
Sensors (Basel, Switzerland)|November 9, 2024
Improved Speech Authenticity Detection in Chinese-English Bilingual ContextsCheng-Yuan Tsai, Sheng-Chain Chang, Chao-Hsiang Hung, et al.
IEEE Transactions on Bio-Medical Engineering|April 26, 2023
Toward Real-World Voice Disorder ClassificationHeng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Improving the performance of hearing aids in noisy environments based on deep learning technologyYing-Hui Lai, Wei-Zhong Zheng, Shih-Tsang Tang, et al.
Folia Phoniatrica Et Logopaedica : Official Organ of the International Association of Logopedics and Phoniatrics (IALP)|September 6, 2018
Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning AlgorithmsSheng-Yang Tsui, Yu Tsao, Chii-Wann Lin, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|November 13, 2008
Indoor location system based on discriminant-adaptive neural network in IEEE 802.11 environmentsShih-Hau Fang, Tsung-Nan Lin
Sensors (Basel, Switzerland)|September 9, 2022
Using SincNet for Learning Pathological Voice DisordersChao-Hsiang Hung, Syu-Siang Wang, Chi-Te Wang, et al.
The Laryngoscope|June 12, 2024
AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical RecordsChi-Te Wang, Tsai-Min Chen, Nien-Ting Lee, et al.
JMIR Mhealth and Uhealth|December 3, 2020
Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development and ValidationChi-Te Wang, Ji-Yan Han, Shih-Hau Fang, et al.
IEEE Open Journal of Engineering in Medicine and Biology|April 11, 2022
Continuous Speech for Improved Learning Pathological Voice DisordersSyu-Siang Wang, Chi-Te Wang, Chih-Chung Lai, et al.
Cognitive Neurodynamics|February 6, 2026
Design of intelligent neuro-supervised deep learning networks to analyze brain electrical activity rhythms of Parkinson's disease modelSana Ullah Saqib, Shih-Hau Fang, Muhammad Asif Zahoor Raja, et al.
Sensors (Basel, Switzerland)|November 9, 2024
Improved Speech Authenticity Detection in Chinese-English Bilingual ContextsCheng-Yuan Tsai, Sheng-Chain Chang, Chao-Hsiang Hung, et al.
IEEE Transactions on Bio-Medical Engineering|April 26, 2023
Toward Real-World Voice Disorder ClassificationHeng-Cheng Kuo, Yu-Peng Hsieh, Huan-Hsin Tseng, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Improving the performance of hearing aids in noisy environments based on deep learning technologyYing-Hui Lai, Wei-Zhong Zheng, Shih-Tsang Tang, et al.
Folia Phoniatrica Et Logopaedica : Official Organ of the International Association of Logopedics and Phoniatrics (IALP)|September 6, 2018
Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning AlgorithmsSheng-Yang Tsui, Yu Tsao, Chii-Wann Lin, et al.
Pageof 2