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教育部委託研究計畫      計畫執行:國立臺灣大學圖書館
 
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機構 日期 題名 作者
國立交通大學 2019-12-13T01:12:51Z A Light Deep Learning Based Method for Bank Serial Number Recognition Umam, Ardian; Chuang, Jen-Hui; Li, Dong-Lin
國立交通大學 2019-06-03T01:08:33Z A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering Bharill, Neha; Patel, Om Prakash; Tiwari, Aruna; Mu, Lifeng; Li, Dong-Lin; Mohanty, Manoranjan; Kaiwartya, Omprakash; Prasad, Mukesh
國立交通大學 2019-04-02T06:04:23Z A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance Rajora, Shantanu; Li, Dong-Lin; Jha, Chandan; Bharill, Neha; Patel, Om Prakash; Joshi, Sudhanshu; Puthal, Deepak; Prasad, Mukesh
國立交通大學 2019-01-01 DEEP LEARNING-BASED OBSTACLE DETECTION AND DEPTH ESTIMATION Li, Dong-Lin; Chuang, Jen-Hui; Lin, Wei-Yu; Hsieh, Yi-Yu
國立交通大學 2018-08-21T05:57:14Z A METHOD TO ENHANCE THE DEEP LEARNING IN AN AERIAL IMAGE Chou, Kuang-Pen; Li, Dong-Lin; Lin, Wen-Chieh; Prasad, Mukesh; Lin, Chin-Teng
國立交通大學 2018-08-21T05:53:38Z Reduced graphene oxide based bimetallic Ni/Fe nanohybrids for rapid dechlorination of trichloroethylene Sahu, Rama; Li, Dong-Lin; Doong, Ruey-An
國立交通大學 2018-08-21T05:53:31Z Robust Feature-Based Automated Multi-View Human Action Recognition System Chou, Kuang-Pen; Prasad, Mukesh; Wu, Di; Sharma, Nabin; Li, Dong-Lin; Line, Yu-Feng; Blumenstein, Michael; Line, Wen-Chieh; Lin, Chin-Teng
國立交通大學 2018-08-21T05:53:06Z Unveiling the hydrodechlorination of trichloroethylene by reduced graphene oxide supported bimetallic Fe/Ni nanoparticles Sahu, Rama Shanker; Li, Dong-Lin; Doong, Ruey-an
國立交通大學 2017-04-21T06:56:33Z Soft-Boosted Self-Constructing Neural Fuzzy Inference Network Prasad, Mukesh; Lin, Chin-Teng; Li, Dong-Lin; Hong, Chao-Tien; Ding, Wei-Ping; Chang, Jyh-Yeong
國立交通大學 2017-04-21T06:56:11Z Self-adjusting feature maps network and its applications Li, Dong-Lin; Prasad, Mukesh; Lin, Chin-Teng; Chang, Jyh-Yeong

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