| 臺大學術典藏 |
2008-11-05T06:18:43Z |
A decoupled path-following control algorithm based upon the decomposed trajectory error
|
Lu, Shui-Shong; Yen, Jia-Yush; Ho, Hsin-Chiang; Ho, Hsin-Chiang;Yen, Jia-Yush;Lu, Shui-Shong |
| 臺大學術典藏 |
1998-12 |
A decoupled path-following control algorithm based upon the decomposed trajectory error
|
Yen, Jia-Yush; Ho, Hsin-Chiang; Lu, Shu-Shung; Yen, Jia-Yush; Ho, Hsin-Chiang; Lu, Shu-Shung |
| 國立臺灣大學 |
1998-12 |
A decoupled path-following control algorithm based upon the decomposed trajectory error
|
Yen, Jia-Yush; Ho, Hsin-Chiang; Lu, Shu-Shung |
| 國立臺灣大學 |
1999 |
A decoupled path-following control algorithm based upon the decomposed trajectory error
|
Ho, Hsin-Chiang; Yen, Jia-Yush; Lu, Shui-Shong |
| 國立臺灣科技大學 |
2015 |
A decoupling network for two-element array using uniform coupled-line sections
|
Wu, C.-H.;Chu, H.N.;Lin, C.-A.;Ma, T.-G. |
| 國立交通大學 |
2014-12-08T15:10:33Z |
A Decoupling Technique for Increasing the Port Isolation Between Two Strongly Coupled Antennas
|
Chen, Shin-Chang; Wang, Yu-Shin; Chun, Shyh-Jong |
| 臺北醫學大學 |
2013 |
A Decrease in the Percentage of CD3(+) Cells Is Correlated With Clinical Improvement During Plasmapheresis in Patients With Myasthenia Gravis
|
PJ, Chien;JH, Yeh;CM, Shih;YM, Hsueh;MC, Chen;HC, Chiu |
| 臺北醫學大學 |
2013 |
A Decrease in the Percentage of CD3(+) Cells Is Correlated With Clinical Improvement During Plasmapheresis in Patients With Myasthenia Gravis
|
Chien, PJ;Yeh, JH;Shih, CM;Hsueh, YM;Chen, MC;Chiu, HC |
| 臺北醫學大學 |
2013 |
A Decrease in the Percentage of CD3+ Cells Is Correlated With Clinical Improvement During Plasmapheresis in PatientsWith Myasthenia Gravis
|
Chien, PJ;Yeh, JH;Shih, CM;Hsueh, YM;Chen, MC;Chiu, HC |
| 元智大學 |
2007-03 |
A decreasing inertia weight particle swarm optimizer
|
范書愷; 邱怡瑛 |
| 元智大學 |
2023 |
A Deep Auscultation Model Using Digital Acoustic Features for Detecting Arteriovenous Fistula and Graft Stenosis
|
鄭以諾; CHENG, I-NO |
| 國立勤益科技大學 |
2015-03 |
A Deep Catastrophic Failure Model of Hillslope for Numerical Manifold Method and Multiple Physics Computation
|
Hsueh-Chun Lin, Yao-Chiang Kan, Wen-Pei Sung, Yao-Ming Hong |
| 元智大學 |
Jan-15 |
A Deep Catastrophic Failure Model of Hillslope for Numerical Manifold Method and Multiple Physics Computation
|
Hsueh-Chun Lin; Yao-Chiang Kan; Wen-Pei Sung; Yao-Ming Hong |
| 中國醫藥大學 |
2015-03 |
A Deep Catastrophic Failure Model of Hillslope for Numerical Manifold Method and Multiple Physics Computation
|
林雪淳(HSUEH-CHUN LIN);甘堯江(Yao-Chiang Kan);宋文沛(Wen-Pei Sung)*;洪曜明(Yao-Ming Hong)* |
| 國立成功大學 |
2017 |
A Deep Convolutional Neural Network based Chinese Menu Recognition App
|
Lee, M.C.;Chiu, S.Y.;Chang, J.W. |
| 國立成功大學 |
2017 |
A deep convolutional neural network based virtual elderly companion agent
|
Lee, M.C.;Yeh, S.C.;Chiu, S.Y.;Chang, J.W. |
| 臺大學術典藏 |
2020-05-04T08:21:53Z |
A Deep Convolutional Neural Network for Continuous Zoom with Dual Cameras
|
Chen, H.-I.; Chen, C.; Chuang, Y.-Y.; YUNG-YU CHUANG |
| 臺大學術典藏 |
2017 |
A deep convolutional neural network for continuous zoom with dual cameras.
|
Chen, Claire; Chuang, Yung-Yu; YUNG-YU CHUANG; Chen, Hsueh-I; Chen, Hsueh-I;Chen, Claire;Chuang, Yung-Yu |
| 淡江大學 |
2022-02-25 |
A Deep Generative Model for Reordering Adjacency Matrices
|
Kwon, Oh-Hyun;Kao, Chiun-How;Chen, Chun-Houh;Ma, Kwan-Liu |
| 臺大學術典藏 |
2020-07-06T03:39:00Z |
A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study
|
Liu C.-C.;Hsuan-Ming Huang; Liu C.-C.; HSUAN-MING HUANG |
| 臺大學術典藏 |
2021-04-08T01:21:29Z |
A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study
|
Liu C.-C.;Hsuan-Ming Huang; Liu C.-C.; HSUAN-MING HUANG |
| 國立成功大學 |
2020-09 |
A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin
|
Hussain;Dostdar;Hussain;Tahir;Khan;Ahmed, Aftab;Naqvi;Asad, Syed Ali;Jamil;Akhtar |
| 臺大學術典藏 |
2022-09-02T02:56:00Z |
A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder
|
Cheng C.-Y.; Tseng W.-L.; Chang C.-F.; Chang C.-H.; SUSAN SHUR-FEN GAU |
| 臺大學術典藏 |
2021-07-21T08:21:22Z |
A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder
|
Cheng C.-Y.; Tseng W.-L.; Chang C.-F.; Chang C.-H.; SUSAN SHUR-FEN GAU |
| 國家衛生研究院 |
2018-07 |
A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers
|
Lin, E;Kuo, PH;Liu, YL;Yu, YWY;Yang, AC;Tsai, SJ |
| 臺大學術典藏 |
2019-07-08T02:27:23Z |
A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers
|
Tsai, Shih-Jen;Yang, Albert C;Yu, Younger W-Y;Liu, Yu-Li;PO-HSIU KUO;Lin, Eugene; Lin, Eugene; PO-HSIU KUO; Liu, Yu-Li; Yu, Younger W-Y; Yang, Albert C; Tsai, Shih-Jen |
| 臺大學術典藏 |
2020-11-18T05:27:42Z |
A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers
|
Lin E.;Po-Hsiu Kuo;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Tsai S.-J.; Lin E.; PO-HSIU KUO; Liu Y.-L.; Yu Y.W.-Y.; Yang A.C.; Tsai S.-J. |
| 臺大學術典藏 |
2021-09-23T06:49:26Z |
A deep learning approach to bank direct marketing
|
CHE LIN |
| 淡江大學 |
2021-04-23 |
A Deep Learning Approach to Extract Integrated Meaningful Keywords from Social Network Posts with Images, Texts and Hashtags
|
Lin, Ren-Xiang;Yu, Chien-Chih;Yang, Heng-Li |
| 臺大學術典藏 |
2021-03-14T23:25:04Z |
A deep learning approach to identify blepharoptosis by convolutional neural networks
|
Hung, Ju Yi; Perera, Chandrashan; Chen, Ke Wei; Myung, David; Chiu, Hsu Kuang; CHIOU-SHANN FUH; Hsu, Cherng Ru; SHU-LANG LIAO; Kossler, Andrea Lora |
| 臺大學術典藏 |
2021-09-04T03:10:14Z |
A deep learning approach to identify blepharoptosis by convolutional neural networks
|
Hung J.-Y.; Perera C.; Chen K.-W.; Myung D.; Chiu H.-K.; Fuh C.-S.; Hsu C.-R.; SHU-LANG LIAO; Kossler A.L. |
| 國立成功大學 |
2021 |
A deep learning approach to identify blepharoptosis by convolutional neural networks
|
Hung, J.-Y.;Perera, C.;Chen, K.-W.;Myung, D.;Chiu, H.-K.;Fuh, C.-S.;Hsu, C.-R.;Liao, S.-L.;Kossler, A.L. |
| 元智大學 |
2023-05-12 |
A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features
|
Ai-Hsien Adams Li; Duc-Khanh Nguyen; Yen-Jun Lai; Ting-Ying Chien; Yen-Ling Chiu; Chan C.-L.; Pan-Chyr Yang |
| 元智大學 |
2023-05-12 |
A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features
|
Ai-Hsien Adams Li; Duc-Khanh Nguyen; Yen-Jun Lai; Ting-Ying Chien; Yen-Ling Chiu; Chan C.-L.; Pan-Chyr Yang |
| 元智大學 |
2023-05-12 |
A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features
|
Ai-Hsien Adams Li; Duc-Khanh Nguyen; Yen-Jun Lai; Ting-Ying Chien; Yen-Ling Chiu; Chan C.-L.; Pan-Chyr Yang |
| 中國文化大學 |
2021-03 |
A Deep Learning Approach to Radar-Based QPE
|
Yo, TS (Yo, Ting-Shuo); Su, SH (Su, Shih-Hao); Chu, JL (Chu, Jung-Lien); Chang, CW (Chang, Chiao-Wei); Kuo, HC (Kuo, Hung-Chi) |
| 臺大學術典藏 |
2021-04-21T23:30:11Z |
A Deep Learning Approach to Radar-Based QPE
|
Yo, Ting Shuo; Su, Shih Hao; Chu, Jung Lien; Chang, Chiao Wei; HUNG-CHI KUO |
| 臺大學術典藏 |
2021-07-17T00:58:50Z |
A Deep Learning Approach to Radar-Based QPE
|
Yo T.-S;Su S.-H;Chu J.-L;Chang C.-W;Kuo H.-C.; Yo T.-S; Su S.-H; Chu J.-L; Chang C.-W; Kuo H.-C.; HUNG-CHI KUO |
| 元智大學 |
2020/9/15 |
A Deep Learning Based Anti-Noise ECG QRS Detector
|
Jianyuan Hong; Hsing Shih; Chun Kai Hu; Da-Han Wang; ,Shunzhi Zhu; jui-chien hsieh |
| 臺大學術典藏 |
2020-02-10T05:32:04Z |
A deep learning based method for 3D human pose estimation from 2D fisheye images
|
BING-YU CHEN; Shen, I.-C; Chen, B.-Y.; BING-YU CHEN;Chen, B.-Y.;Shen, I.-C;Wu, C.-M;Chen, C.-C; Chen, C.-C; Wu, C.-M |
| 國立成功大學 |
2023-05-5 |
A deep learning empowered smart representative volume element method for long fiber woven composites
|
Hsu;Mao-Ken;Chen;Wei;Huang;Bo-Yu;Shen;Li-Hsuan;Hsu;Chia-Hsiang;Chang;Rong-Yeu;Yu;Chi-Hua |
| 國立成功大學 |
2022-10 |
A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram
|
Setiawan;Febryan;Lin;Che-Wei |
| 國立臺灣科技大學 |
2020 |
A deep learning framework for heart rate estimation from facial videos
|
Hsu, G.-S.J.;Xie, R.-C.;Ambikapathi, Ambikapathi A.;Chou, K.-J. |
| 亞洲大學 |
2022-04-01 |
A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images
|
Ardhia, Peter;Ardhianto, Peter;Bagus, Raden;Subiakto, Raden Bagus Reinaldy;Li, Chih-Yang;Lin, Chih-Yang;Jan, Yih-Kuen;Jan, Yih-Kuen;Liau, Ben-Yi;Liau, Ben-Yi;Tsa, Jen-Yung;Tsai, Jen-Yung;Veit, Babak H;Akbari, Veit Babak Hamun;龍希文;Lung, Chi-Wen |
| 元智大學 |
Apr-22 |
A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images
|
林智揚; Peter Ardhianto; Raden Bagus Reinaldy Subiakto; Yih-Kuen Jan; Ben-Yi Liau; Jen-Yung Tsai; Veit Babak Hamun Akbari; Chi-Wen Lung |
| 中山醫學大學 |
2021 |
A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease
|
Wang, CC; Chiu, YC; Chen, WL; Yang, TW; Tsai, MC; Tseng, MH |
| 中山醫學大學 |
2021-03 |
A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease
|
Chi-Chih Wang 1 2 3, Yu-Ching Chiu 4, Wei-Liang Chen 3, Tzu-Wei Yang 1 2 3, Ming-Chang Tsai 1 2 3, Ming-Hseng Tseng 5 6 |
| 中山醫學大學 |
2021-03 |
A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease
|
Wang, Chi-Chih;Chiu, Yu-Ching;Chen, Wei-Liang;Yang, Tzu-Wei;Tsai, Ming-Chang;Tseng, Ming-Hseng |
| 臺大學術典藏 |
2020-12-16T02:01:49Z |
A Deep Learning Model for Extracting Live Streaming Video Highlights using Audience Messages
|
Han, H.-K.;Huang, Y.-C.;Chen, C.C.; Han, H.-K.; Huang, Y.-C.; Chen, C.C.; CHIEN CHIN CHEN |
| 元智大學 |
2022-05-13 |
A Deep Learning Model for Wound Size Measurement Using Fingernails
|
Duc-Khanh Nguyen(阮德慶); Dun-Hao Chang(張惇皓); Thi-Trung Nguyen(阮茉莉); Trinh-Trung-Duong Nguyen; Chan C.-L. |
