| 國立臺北護理健康大學 |
2022-07 |
Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke
|
Liao, Wan-Wen; Hsieh, Yu-Wei; Lee, Tsong-Hai; Chen, Chia-Ling; Wu, Ching-Yi |
| 國家衛生研究院 |
2024-05-01 |
Machine learning reveals UHRF-X as a biomarker for systemic lupus erythematosus and an antagonistic protein against UHRF1 E3 ligase
|
Chuang, HC;Tan, TH |
| 臺大學術典藏 |
2020-06-04T07:48:54Z |
Machine Learning Techniques for Recognizing IoT Devices
|
Lin, Y.C.;Wang, F.; Lin, Y.C.; Wang, F.; FARN WANG |
| 國立成功大學 |
2022-11 |
Machine learning technology in biohydrogen production from agriculture waste: Recent advances and future perspectives
|
Sharma;Kumar, Amit;Ghodke;Kumar, Praveen;Goyal;Nishu;Nethaji;S;Chen;Wei-Hsin |
| 國立成功大學 |
2023-02-17 |
Machine learning to predict late respiratory support in preterm infants: a retrospective cohort study
|
Wu;Tsung-Yu;Lin;Wei-Ting;Chen;Yen-Ju;Chang;Yu-Shan;Lin;Chyi-Her;Lin;Yuh-Jyh |
| 國立成功大學 |
2022-10-14 |
Machine learning to predict the development of recurrent urinary tract infection related to single uropathogen, Escherichia coli
|
Jeng;Shuen-Lin;Huang;Zi-Jing;Yang;Deng-Chi;Teng;Ching-Hao;Wang;Ming-Cheng |
| 臺北醫學大學 |
2025-01-13 |
Machine Learning to Predict the Risk of Complications among Type 2 Diabetes Mellitus Patients using Taipei Medical University Clinical Research Database
|
Phuc, Phan Thanh |
| 國立政治大學 |
2009 |
Machine learning trend anticipation by text mining methodology based on SSCI database
|
Chiang, Johannes Kuo-huie;Liao, W.-C.; 姜國輝 |
| 修平科技大學 |
2005 |
Machine Learning with Automatic Feature Selection for Multi-Class Protein Fold Classification
|
黃淳德;梁勝富;林進燈;吳瑞成 |
| 國立交通大學 |
2014-12-08T15:18:50Z |
Machine learning with automatic feature selection for multi-class protein fold classification
|
Huang, CD; Liang, SF; Lin, CT; Wu, RC |
| 臺大學術典藏 |
2022-03-22T08:26:45Z |
Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution
|
Wang C.-Y;Ko T.-S;Hsu C.-C.; Wang C.-Y; Ko T.-S; Hsu C.-C.; JERRY CHENG-CHE HSU |
| 臺大學術典藏 |
2022-03-22T08:29:38Z |
Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution
|
Wang C.-Y;Ko T.-S;Hsu C.-C.; Wang C.-Y; Ko T.-S; Hsu C.-C.; JERRY CHENG-CHE HSU |
| 臺大學術典藏 |
2022-03-22T08:29:39Z |
Machine Learning with Explainable Artificial Intelligence Vision for Characterization of Solution Conductivity Using Optical Emission Spectroscopy of Plasma in Aqueous Solution
|
Wang C.-Y;Ko T.-S;Hsu C.-C.; Wang C.-Y; Ko T.-S; Hsu C.-C.; JERRY CHENG-CHE HSU |
| 國立交通大學 |
2020-10-05T02:01:06Z |
Machine learning with parallel neural networks for analyzing and forecasting electricity demand
|
Chen, Yi-Ting; Sun, Edward W.; Lin, Yi-Bing |
| 臺大學術典藏 |
2022-05-24T06:10:31Z |
Machine learning-aided computational study of metal-organic frameworks for sour gas sweetening
|
Cho E.H.;Deng X.;Zou C.;Lin L.-C.; Cho E.H.; Deng X.; Zou C.; Lin L.-C.; LI-CHIANG LIN |
| 臺北醫學大學 |
2014 |
Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system
|
Yeh, Shih-Ching;Huang, Ming-Chun;Wang, Pa-Chun;Fang, Te-Yung;Su, Mu-Chun;Tsai, Po-Yi;Rizzo, Albert |
| 中國醫藥大學 |
2014-10 |
Machine Learning-based Assessment Tool for Imbalance and Vestibular Dysfunction with Virtual Reality Rehabilitation System
|
(Shih-Ching Yeh);(Ming-Chun Huang);王拔群*;(Te-Yung Fang);(Mu-Chun Su);(Po-Yi Tsai);(Albert Rizzo) |
| 國立成功大學 |
2023 |
Machine learning-based brief version of the Caregiver-Teacher Report Form for preschoolers
|
Lin, G.-H.;Lee, S.-C.;Yu, Yu Y.-T.;Huang, C.-Y. |
| 國立交通大學 |
2017-04-21T06:48:18Z |
Machine Learning-Based Configuration Parameter Tuning on Hadoop System
|
Chen, Chi-Ou; Zhuo, Ye-Qi; Yeh, Chao-Chun; Lin, Che-Min; Liao, Shih-wei |
| 臺大學術典藏 |
2015 |
Machine Learning-Based Configuration Parameter Tuning on Hadoop System
|
Chen, C.-O.;Zhuo, Y.-Q.;Yeh, C.-C.;Lin, C.-M.;Liao, S.-W.; Chen, C.-O.; Zhuo, Y.-Q.; Yeh, C.-C.; Lin, C.-M.; Liao, S.-W.; SHIH-WEI LIAO |
| 臺大學術典藏 |
2020-05-04T08:04:45Z |
Machine Learning-Based Configuration Parameter Tuning on Hadoop System.
|
Chen, Chi-Ou; Zhuo, Ye-Qi; Yeh, Chao-Chun; Lin, Che-Min; Liao, Shih-Wei; SHIH-WEI LIAO; Chen, Chi-Ou;Zhuo, Ye-Qi;Yeh, Chao-Chun;Lin, Che-Min;Liao, Shih-Wei |
| 元智大學 |
2019-10-21 |
Machine Learning-Based Control Chart Pattern Recognition: Issues and Resolution
|
Chuen-Sheng Cheng; Chen-Yen Fan |
| 國立成功大學 |
2020 |
Machine learning-based energy consumption clustering and forecasting for mixed-use buildings
|
Culaba, A.B.;Del, Rosario A.J.R.;Ubando, A.T.;Chang, J.-S. |
| 國立交通大學 |
2020-10-05T02:01:58Z |
Machine Learning-Based Energy-Spectrum Two-Dimensional Cognition in Energy Harvesting CRNs
|
Fan, Yongjian; Xu, Wenjun; Lee, Chia-Han; Wu, Silei; Yang, Fan; Zhang, Ping |
| 朝陽科技大學 |
2023-10-16 |
Machine Learning-based Indoor Positioning Systems Using Multi-Channel Information
|
黃永發; Huang, Yung-Fa; Lee, Shu-Hung; Cheng, Chia-Hsin; Huang, Tzu-Huan |
