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Yang Chao-Tung Liu Jung-Chun Chan Yu-Wei Kristiani Endah Kuo Chan-Fu 《The Journal of supercomputing》2021,77(3):2486-2510
The Journal of Supercomputing - With the success of deep learning (DL) methods in diverse application domains, several deep learning software frameworks have been proposed to facilitate the usage... 相似文献
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Yang Chao-Tung Kristiani Endah Wang Yuan-Ting Min Geyong Lai Ching-Han Jiang Wei-Je 《The Journal of supercomputing》2020,76(8):6344-6360
The Journal of Supercomputing - A log management system is essential for the networks administrator. With a log management tool, we can collect, store, analyze, archive, and finally dispose of the... 相似文献
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Kristiani Endah Lee Ching-Fang Yang Chao-Tung Huang Chin-Yin Tsan Yu-Tse Chan Wei-Cheng 《The Journal of supercomputing》2021,77(6):5586-5605
The Journal of Supercomputing - Time series prediction is a challenging predictive modeling case. It is essential to have a prediction model that can adapt to dynamic data. Air quality data show a... 相似文献
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Liu Jung-Chun Yang Chao-Tung Chan Yu-Wei Kristiani Endah Jiang Wei-Je 《The Journal of supercomputing》2021,77(10):10984-11003
The Journal of Supercomputing - Network log data is significant for network administrators, since it contains information on every event that occurs in a network, including system errors, alerts,... 相似文献
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Yang Chao-Tung Chen Tzu-Yang Kristiani Endah Wu Shyhtsun Felix 《The Journal of supercomputing》2021,77(6):5934-5959
The Journal of Supercomputing - Electricity data could generate a large number of records from smart meter day by day. The traditional architecture might not properly handle the increasingly... 相似文献
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