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Showing items 486466-486475 of 2348674 (234868 Page(s) Totally) << < 48642 48643 48644 48645 48646 48647 48648 48649 48650 48651 > >> View [10|25|50] records per page
| 臺大學術典藏 |
2018-06-28T15:34:04Z |
Identifying the Turning Points of Business Cycles and Forecasting Real GNP Growth Rates in Taiwan
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管中閔; 黃裕烈; 林向愷; 林向愷; 黃裕烈; 管中閔; Lin, S.K.;Huang, Y.L.;Kuan, C.M. |
| 淡江大學 |
1998-07 |
Identifying the ‘Real:’ On Early Metropolitan Receptions of Rudyard Kipling
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Ozawa, Shizen |
| 國立臺灣海洋大學 |
2008-11 |
Identifying time-dependent damping and stiffness functions by a simple and yet accurate method
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Chein-Shan Liu |
| 臺大學術典藏 |
2021-09-14T23:19:27Z |
Identifying Tomato Diseases from Leave Images Using Deep Convolutional Neural Networks
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Cheng, Hsueh Hung; Dai, Yu Lun; Lin, Chu Ping; Huang, Jin Hsing; SHIH-FANG CHEN; YAN-FU KUO |
| 臺大學術典藏 |
2022-04-25T03:57:33Z |
Identifying Tomato Diseases from Leave Images Using Deep Convolutional Neural Networks
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Cheng H.-H;Dai Y.-L;Lin C.-P;Huang J.-H;Chen S.-F;Kuo Y.-F.; Cheng H.-H; Dai Y.-L; Lin C.-P; Huang J.-H; Chen S.-F; Kuo Y.-F.; YAN-FU KUO |
| 淡江大學 |
2013-04 |
Identifying Training Needs thru Competency Modelling: An Empirical Study in Taipei City
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黃一峰; Goh, Rita |
| 中國醫藥大學 |
2009-06 |
Identifying trajectories of birth-related fatigue of expectant fathers
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曾雅玲(Tzeng Ya-Ling)*; 鄧玉貴(Teng Yu Kuei); 周汎澔(ChouFH); 涂秀琴(Tu, Hsiu-Chin) |
| 國立交通大學 |
2014-12-08T15:25:49Z |
Identifying transcriptional regulatory sites in the human genome using an integrated computation
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Huang, HD; Horng, JT; Sun, YM; Tsou, AP; Huang, SL |
| 國立交通大學 |
2014-12-08T15:39:31Z |
Identifying transcriptional regulatory sites in the human genome using an integrated system
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Huang, HD; Horng, JT; Sun, YM; Tsou, AP; Huang, SL |
| 亞洲大學 |
2004-03 |
Identifying Transcriptional Regulatory Sites in the Human Genome Using an Integrated System
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H. D. Huang;J. T. Horng;Y. M. Sun;A. P. Tsou;S. L. Huang |
Showing items 486466-486475 of 2348674 (234868 Page(s) Totally) << < 48642 48643 48644 48645 48646 48647 48648 48649 48650 48651 > >> View [10|25|50] records per page
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