Abstract: This paper presents FedNAS, a novel federated learning (FL) framework designed for robust and personalized models to detect anomalies at distributed electric vehicle charging stations (EVCSs ...
Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Abstract: Real-time vision systems for autonomous vehicles, medical imaging and surveillance demand edge detectors that are both high-throughput and power-aware, yet the arithmetic intensity of the ...
GreyNoise Intelligence has launched Command and Control Detection, a new intelligence module designed to identify active cyber compromises using outbound network traffic data. GreyNoise’s launch of ...
Clawdbot alpha edge-detection module for Polymarket. Scores markets against comparable resolved events, detects soft-consensus mispricing, and enters Kelly-sized positions when edge exceeds your ...
Chinese scientists have developed a new gravity-based detector that could be used to detect lurking submarines. Originally developed for scientific research and resource exploration, the device could ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results