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Institution Date Title Author
元智大學 May-19 Recurrent neural network based real-time failure detection of storage devices Chuan Jun Su; Yi Li
元智大學 May-19 Recurrent neural network based real-time failure detection of storage devices Chuan Jun Su; Yi Li
元智大學 May-18 Risk assessment for global supplier selection using text mining Chuan Jun Su; Yin-An Chen
元智大學 Mar-15 Automated Data Collection and Analysis for Ubiquitous and Continuous Electronic Fetal Monitoring Ta-Wei Chu; Chuan Jun Su
元智大學 Jul-18 Big Data Preventive Maintenance for Hard Disk Failure Detection Chuan Jun Su; Jorge Alfonso Quan Yon
元智大學 Feb-22 Recurrent neural network based real-time failure detection of storage devices Chuan Jun Su; Yi Li
元智大學 Feb-21 Transfer Learning Based Intelligent Diagnosis Support System for Knee Osteoarthritis Chuan Jun Su; Yi Li
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 Apr-17 Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection Shu-Kai S. Fan; Chuan Jun Su; Han-Tang Nien; Pei-Fang Tsai; Chen-Yang Cheng
元智大學 2023/7/23 Autonomous System with Cyber-Physical Integrating Features on Public Utility of Chemical Fiber Factory Jerry Chen; J.S. Shieh; Chi-Yuan Lee; Chuan-Jun Su; Liang Y.-C.; Tien-Lung Sun
元智大學 2023-07-23 Autonomous System with Cyber-Physical Integrating Features on Public Utility of Chemical Fiber Factory Jerry Chen; J.S. Shieh; Chi-Yuan Lee; Chuan-Jun Su; Liang Y.-C.; Tien-Lung Sun
元智大學 2023-07-23 Autonomous System with Cyber-Physical Integrating Features on Public Utility of Chemical Fiber Factory Jerry Chen; J.S. Shieh; Chi-Yuan Lee; Chuan-Jun Su; Liang Y.-C.; Tien-Lung Sun
元智大學 2019/12/2 Medical Image Diagnostics based on Deep Transfer Learning Chuan Jun Su; Guan-Hong Shih; Shi-Feng Huang; Yi Li; Ching-Kai Huang
元智大學 2019-11-15 The Mobility and Health Care Monitoring: The Evaluation of Reliability & Applicability of Mobile Health Applications Chuan Jun Su; Shi-Feng Huang; Yi Li
元智大學 2019-11-15 POCMAR: A Personalized Ontological Contextually-Aware Mobile AR System Chuan Jun Su; Shi-Feng Huang; Ying-Jen Lin; Yi Li
元智大學 2019-07-24 Deep Learning-Based Real-Time Failure Detection of Storage Devices Chuan Jun Su; Lien-Chung Tsai; Shi-Feng Huang; Yi Li
元智大學 2019-07-24 Ubiquitous Fitting: Ontology-Based Dynamic Exercise Program Generation Chuan Jun Su; Yi-Tzy Tang; Shi-Feng Huang; Yi Li
元智大學 2018-11-02 Ontology Based Big Data Analytics for the Benchmarking Hospitality Industry Chuan Jun Su; Shi-Feng Huang; Yi Li
元智大學 2018-11-02 Recurrent Neural Network Based Real-Time Failure Detection of Storage Devices Chuan Jun Su; Yi Li
元智大學 2018-07-06 Sentiment analysis and information diffusion on Social Media: the case of the Zika virus Chuan Jun Su; Yi Li
元智大學 2018-07-06 Ontology-Supported Knowledge Management with Case-based Rea-soning for Intelligent Health Projection Chuan Jun Su; Shi-Feng Huang

Showing items 6-30 of 82  (4 Page(s) Totally)
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