Abstract: This study presents a novel framework that utilizes convolutional neural network to automatically identify candlestick formations in encoded financial time series data. The approach ...
Abstract: This study proposes a computational framework for cybersecurity analytics by integrating network science and spatiotemporal modeling. We develop a weighted directed graph model to ...
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