Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...
The bank accelerates efforts to build in-house cloud expertise, signalling a strategic shift towards greater self-sufficiency ...
Abstract: This research study presents an advanced deep-learning framework aimed at improved cancer cell detection in the contextof mammography images. We used the CBIS-DDSM mammography dataset and a ...
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