Abstract: Network-based anomaly detection plays a pivotal role in cybersecurity. Most detection models are based on unsupervised machine learning to learn such a normal flow pattern of network traffic ...
Abstract: Microcombs are advancing optical frequency comb technology towards a chip-integrable form. Here, we characterize a microwave signal source based upon the two-point optical frequency division ...
Thus, in this work, we developed a composite electrode composed of epoxy resin and graphite, and its surface was modified with silver nanoparticles, obtained by recycling photographic waste. The ...
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