Abstract: The security of Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems has been significantly enhanced through the integration of effective intrusion detection systems ...
Building async applications often means dealing with background tasks. Existing solutions like Celery require separate worker processes and complex configuration. Kew takes a different approach: Kew ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Inter-turn short-circuit (ITSC) fault can pose a significant risk in multiphase induction machine drives, potentially leading to severe faults such as phase-to-phase or phase-to-ground ...
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
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