English  |  正體中文  |  简体中文  |  Total items :2853524  
Visitors :  45224084    Online Users :  880
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
About TAIR

Browse By

News

Copyright

Related Links

Jump to: [ Chinese Items ] [ 0-9 ] [ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ]
or enter the first few letters:   

Showing items 215896-215905 of 2346275  (234628 Page(s) Totally)
<< < 21585 21586 21587 21588 21589 21590 21591 21592 21593 21594 > >>
View [10|25|50] records per page

Institution Date Title Author
國立交通大學 2018-08-21T05:56:59Z Automatic mura detection system for liquid crystal display panels Fang, LT; Chen, HC; Yin, IC; Wang, SJ; Wen, CH; Kuo, CH
國立交通大學 2014-12-08T15:24:41Z Automatic mura detection system for liquid crystal display panels - art. no. 60700G Fang, LT; Chen, HC; Yin, IC; Wang, SJ; Wen, CH; Kuo, CH
國立政治大學 2006 Automatic Music Arrangement Based on Music Style 沈錳坤
朝陽科技大學 2021-02 Automatic Music Genre Classification Based on CRNN 鄭煜輝; Cheng, Yu-Huei; Chang, Pang-Ching; Nguyen, Duc-Man; Kuo, Che-Nan
中華大學 2009 Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features 李建興; Lee, Chang-Hsing
中華大學 2009 Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features 游坤明; Yu, K.M.
中華大學 2009 Automatic Music Genre Classification Based on Modulation Spectral Analysis of Spectral and Cepstral Features 石昭玲; Shih, Jau-Ling
中華大學 2007 Automatic Music Genre Classification Using Modulation Spectral Contrast Feature 游坤明; Yu, K.M.
中華大學 2007 Automatic Music Genre Classification Using Modulation Spectral Contrast Feature 石昭玲; Shih, Jau-Ling
中華大學 2007 Automatic Music Genre Classification Using Modulation Spectral Contrast Feature 李建興; Lee, Chang-Hsing

Showing items 215896-215905 of 2346275  (234628 Page(s) Totally)
<< < 21585 21586 21587 21588 21589 21590 21591 21592 21593 21594 > >>
View [10|25|50] records per page