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Found 2 papers, 1 papers with code
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition
We then evaluate the end-to-end system performance sequentially to account for task interdependencies.
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network
Our results demonstrate that in comparison to conventional DLM techniques, our model maintains a high testing accuracy of 99% even with lower resource utilization in terms of cpu and memory.
Ranked #1 on
Network Intrusion Detection
on UNSW-NB15
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