Fusing Two AI Detectors Could Catch Zero-Day Attacks on Factory Networks
A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...
A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...
A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...
University of Pittsburgh engineer Susan Fullerton has received a $1.35 million Moore Foundation Experimental Physics Investigator award to directly measure, ...
Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...
University of Arkansas researchers have developed a training-free, UAV-based adaptive sprayer that uses HSV vegetation segmentation and a weed-free soybean ...
Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...
Researchers have combined fog computing simulation with Particle Swarm Optimization to estimate how many IoT devices a Cloud-Fog system can ...
A study of a Raspberry Pi 5 durian disease detector finds that dataset leakage, silent validation failures and software thermal ...
A new Data Trust Unit framework shows that degraded data credibility can silently consume up to 48 percent of a ...
A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...
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© 2026 Scienmag - Science Magazine