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In recent years, Deep Neural Network (DNN) has been taking the spotlight since the rise of AlexNet …
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The aim of precision medicine is to harness new knowledge and technology to optimize the timing and…
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Many developments have been made on image classification using deep neural networks these past few …
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This dissertation focuses on the use of deep learning and machine learning techniques to diagnose T…
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本論文討論了智慧製造中的兩個主要問題:第一個是從多變量時間序列（multivariate time-series, MTS）資料中進行異常或不一致(discord)特徵序列的發現;第二個是如何在多變…
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Recent deep learning approaches in Single image superresolution (SISR) can generate highdefinitio…
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Probabilistic Machine Learning Model: Extended Monte Carlo Simulation for Solving Geotechnical Engi…
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Accurately estimating reinforcement tensile loads is crucial for evaluating the internal stabilitie…
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語義發佈/訂閱系統中既有的訂閱分群技術，藉由分析訂閱間語言及語法上之相似及相異度，作為將訂閱分成不同群組之依據。但訂閱間語法上之相似度不易定義且關係複雜多變，因此分群的效果並不佳。本計劃中我們擬以無…