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显示项目 671901-671925 / 2307984 (共92320页)
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机构 日期 题名 作者
朝陽科技大學 2023-12 Prediction of metabolic ageing in higher education staff using machine learning: A pilot study Zaira, Pineda-Rico;Angeles, Rojas Mendoza Diana Luz de los;Ulises, Pineda-Rico;Luis, Arguelles Ojeda Jose;Javier, Martinez Lopez Francisco
國立交通大學 2014-12-08T15:23:34Z Prediction of Metal Ion-Binding Sites in Proteins Using the Fragment Transformation Method Lu, Chih-Hao; Lin, Yu-Feng; Lin, Jau-Ji; Yu, Chin-Sheng
中國醫藥大學 2012-06 Prediction of Metal Ion-Binding Sites in Proteins Using the Fragment Transformation Method 陸志豪(Chih-Hao Lu)*;林玉鳳(Yu-Feng Lin);林肇基(Jau-Ji Lin);游景盛(Chin-Sheng Yu)
國立交通大學 2019-08-02T02:24:20Z Prediction of Metastasis in Head and Neck Cancer from Computed Tomography Images Lo, Tzu-Yun; Wei, Pei-Yin; Yen, Chia-Heng; Lirng, Jiing-Feng; Yang, Muh-Hwa; Chu, Pen-Yuan; Ho, Shinn-Ying
東海大學 1992-06-00 Prediction of Microbial Growth in Liquid Model Systems Exposed to Temperature Fluctuations 李根永
中華大學 2005 Prediction of microbial growth rate in biofilters by using the nutrient diffusion coefficient 詹武忠; Chan, Wu-Chung
臺大學術典藏 2021-10-08T08:16:11Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen L.-W.; Yang S.-M.; Wang H.-J.; Chen Y.-C.; MONG-WEI LIN; Hsieh M.-S.; Song H.-L.; Ko H.-J.; Chen C.-M.; Chang Y.-C.
臺大學術典藏 2021-01-18T09:12:05Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen, Li Wei; SHUN-MAO YANG; Wang, Hao Jen; Chen, Yi Chang; Lin, Mong Wei; MIN-SHU HSIEH; HSIANG-LIN SONG; Ko, Huan Jang; CHUNG-MING CHEN; YEUN-CHUNG CHANG
臺大學術典藏 2021-03-11T03:23:37Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes HSIANG-LIN SONG; Chen, L.-W., Wang, H.-J., Chen, Y.-C., Lin, M.-W., Hsieh, M.-S., Ko, H.-J., Chen, C.-M., Chang, Y.-C.; SHUN-MAO YANG
臺大學術典藏 2021-03-19T06:57:14Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen L.-W.; Yang S.-M.; Wang H.-J.; Chen Y.-C.; Lin M.-W.; Hsieh M.-S.; Song H.-L.; Ko H.-J.; Chen C.-M.; YEUN-CHUNG CHANG
臺大學術典藏 2021-04-29T06:23:44Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen, Li-Wei; SHUN-MAO YANG; Wang, Hao-Jen; Chen, Yi-Chang; Lin, Mong-Wei; Hsieh, Min-Shu; Song, Hsiang-Lin; Ko, Huan-Jang; Chen, Chung-Ming; Chang, Yeun-Chung
臺大學術典藏 2021-08-05T02:41:50Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen L.-W;Yang S.-M;Wang H.-J;Chen Y.-C;Lin M.-W;Hsieh M.-S;Song H.-L;Ko H.-J;Chen C.-M;Chang Y.-C.; Chen L.-W; Yang S.-M; Wang H.-J; Chen Y.-C; Lin M.-W; Hsieh M.-S; Song H.-L; Ko H.-J; Chen C.-M; Chang Y.-C.; CHUNG-MING CHEN
臺大學術典藏 2022-01-08T04:31:31Z Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes Chen L.-W.; Yang S.-M.; Wang H.-J.; Chen Y.-C.; Lin M.-W.; MIN-SHU HSIEH; Song H.-L.; Ko H.-J.; Chen C.-M.; Chang Y.-C.
亞洲大學 2007 Prediction of microRNA Genes near the HOX Gene family Chia-En Lee
中國醫藥大學 2013-11 Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms (Nilubon Kurubanjerdjit);(Chien-Hung Huang);(Yu-liang Lee);(JeffreyJ.P.Tsai);吳家樂(Ka-Lok Ng)*
亞洲大學 2008 Prediction of microRNAs Targeting Breast Cancer mRNAs Hsiao-Ping Lee
臺大學術典藏 2018-09-10T08:35:39Z Prediction of miscibility gaps in water/ether mixtures using COSMO-SAC model Lin, S.-T.; Wang, L.-H.; Chen, W.-L.; Lai, P.-K.; Hsieh, C.-M.; SHIANG-TAI LIN
中國醫藥大學 2010-12 Prediction of miscible mixtures flash-point from UNIFAC group contribution methods 廖宏章(Horng-Jang Liaw); (Gerbaud, V.); 李依樺
中國醫藥大學 2011-01 Prediction of miscible mixtures flash-point from UNIFAC group contribution methods 廖宏章(Horng-Jang Liaw)*; (Gerbaud, V.); 李依樺
臺大學術典藏 2018-09-10T06:21:55Z Prediction of mixture vapor-liquid equilibrium from the combined use of Peng-Robinson equation of state and COSMO-SAC activity coefficient model through the Wong-Sandler mixing rule SHIANG-TAI LIN; Lee, M.-T.; Lin, S.-T.
臺大學術典藏 2007 Prediction of mixture vapor–liquid equilibrium from the combined use of Peng–Robinson equation of state and COSMO-SAC activity coefficient model through the Wong–Sandler mixing rule Lin, Shiang-Tai; Lee, Ming-Tsung; Lee, Ming-Tsung; Lin, Shiang-Tai
國立臺灣大學 2007 Prediction of mixture vapor–liquid equilibrium from the combined use of Peng–Robinson equation of state and COSMO-SAC activity coefficient model through the Wong–Sandler mixing rule Lee, Ming-Tsung; Lin, Shiang-Tai
中臺科技大學 2023-06 Prediction of moderate to servre obstructive sleep apnea using neck computed tomography with computational fluid dynamics study. 鐘威昇
淡江大學 2007-08 Prediction of monthly regional groundwater levels through hybrid soft-computing techniques Fi-John Chang; Li-Chiu Chang; Chien-Wei Huang; I-Feng Kao
臺大學術典藏 2020-01-14T03:33:31Z Prediction of monthly regional groundwater levels through hybrid soft-computing techniques Chang F.-J.; Chang L.-C.; Huang C.-W.; Kao I.-F.; FI-JOHN CHANG

显示项目 671901-671925 / 2307984 (共92320页)
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