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Taiwan Academic Institutional Repository >
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"hsu cf"
Showing items 11-35 of 35 (2 Page(s) Totally)
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| 國立交通大學 |
2014-12-08T15:41:17Z |
Self-learning fuzzy sliding-mode control for antilock braking systems
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Lin, CM; Hsu, CF |
| 國立交通大學 |
2014-12-08T15:40:16Z |
Self-organizing fuzzy learning CLOS guidance law design
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Lin, CM; Hsu, CF; Mon, YJ |
| 國立交通大學 |
2014-12-08T15:38:50Z |
Robust cerebellar model articulation controller design for unknown nonlinear systems
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Lin, CM; Peng, YF; Hsu, CF |
| 國立交通大學 |
2014-12-08T15:38:28Z |
Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings
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Lin, CM; Hsu, CF |
| 國立交通大學 |
2014-12-08T15:37:01Z |
Neural-network-identification-based adaptive control of wing rock motions
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Hsu, CF; Lin, CM; Chen, TY |
| 國立交通大學 |
2014-12-08T15:27:15Z |
Voltage scaling and temperature effects on drain leakage current degradation in a hot carrier stressed n-MOSFET
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Wang, TH; Hsu, CF; Chiang, LP; Zous, NK; Chao, TS; Chang, CY |
| 國立交通大學 |
2014-12-08T15:26:08Z |
Robust hybrid control for antilock braking systems
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Lee, TT; Hsu, CF; Lee, S |
| 國立交通大學 |
2014-12-08T15:26:05Z |
Hybrid adaptive fuzzy control wing rock motion system with H-infinity robust performance
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Lin, CT; Lee, TT; Hsu, CF; Lin, CM |
| 國立交通大學 |
2014-12-08T15:25:57Z |
Fuzzy neural network classification design using support vector machine
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Lin, CT; Yeh, CM; Hsu, CF |
| 國立交通大學 |
2014-12-08T15:25:46Z |
Robust neuro-fuzzy controller design via sliding-mode approach
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Hsu, CF; Lee, TT; Lin, CM; Chen, LY |
| 國立交通大學 |
2014-12-08T15:25:46Z |
Longitudinal control of vehicle platoon via wavelet neural network
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Hsu, CF; Wang, WJ; Lee, TT; Lin, CM |
| 國立交通大學 |
2014-12-08T15:25:09Z |
Type-2 fuzzy logic controller design for buck DC-DC converters
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Lin, PZ; Hsu, CF; Lee, TT |
| 國立交通大學 |
2014-12-08T15:25:09Z |
Adaptive fuzzy sliding-mode control for linear piezoelectric ceramic motor
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Hsu, CF; Lin, CM; Lee, TT |
| 國立交通大學 |
2014-12-08T15:25:09Z |
Adaptive fuzzy control with PI learning algorithm for induction servomotor systems
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Chen, GM; Hsu, CF; Lee, TT |
| 國立交通大學 |
2014-12-08T15:19:28Z |
Fuzzy-identification-based adaptive controller design via backstepping approach
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Hsu, CF; Lin, CM |
| 國立交通大學 |
2014-12-08T15:18:29Z |
Excess low-frequency noise in ultrathin oxide n-MOSFETs arising from valence-band electron tunneling
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Wu, JW; You, JW; Ma, HC; Cheng, CC; Hsu, CF; Chang, CS; Huang, GW; Wang, TH |
| 國立交通大學 |
2014-12-08T15:18:09Z |
Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters
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Lin, PZ; Lin, CM; Hsu, CF; Lee, TT |
| 國立交通大學 |
2014-12-08T15:17:57Z |
Recurrent-neural-network-based adaptive-backstepping control for induction servomotors
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Lin, CM; Hsu, CF |
| 國家衛生研究院 |
2013-02 |
Krüppel-like factor 10 upregulates the expression of cyclooxygenase 1 and further modulates angiogenesis in endothelial cell and platelet aggregation in gene-deficient mice
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Yang, DHA;Hsu, CF;Lin, CY;Guo, JY;Yu, WCY;Chang, VHS |
| 國家衛生研究院 |
2012-08 |
Krüppel-like factor 10 expression as a prognostic indicator for pancreatic adenocarcinoma
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Chang, VHS;Chu, PY;Peng, SL;Mao, TL;Shan, YS;Hsu, CF;Lin, CY;Tsai, KKC;Yu, WCY;Ch'ang, HJ |
| 臺北醫學大學 |
2012 |
Kr?ppel-Like Factor 10 Expression as a Prognostic Indicator for Pancreatic Adenocarcinoma
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VHS, Chang;Chu, PY;Peng, SL;Mao, TL;Shan, YS;Hsu, CF;Lin, CY;KKC, Tsai;WCY, Yu;Ch'ang, HJ |
| 國家衛生研究院 |
2011-02 |
Klf10 induces cell apoptosis through modulation of BI-1 expression and Ca2+ homeostasis in estrogen-responding adenocarcinoma cells
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Hsu, CF;Sui, CL;Wu, WC;Wang, JJ;Yang, DHA;Chen, YC;Yu, WCY;Chang, HS |
| 國立暨南國際大學 |
2007 |
Detection of c-reactive protein based on immunoassay using antibody-conjugated magnetic nanoparticles
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徐建發?; Hsu, CF |
| 國立臺灣大學 |
2005-06 |
Use of the duplex TaqMan PCR system for detection of Shiga-like toxin-producing Escherichia coli O157.
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Hsu, CF; Tsai, TY; Pan, TM |
| 國立臺灣大學 |
2005-03 |
Isolation and identification of Escherichia coli O157:H7 associated with the first clinical case in Taiwan
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Wu, FT; Tsai, TY; Hsu, CF; Pan, TM; Chen, HY; Su, IJ |
Showing items 11-35 of 35 (2 Page(s) Totally)
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