New Model Detects Anomalies in Complex Network Data
A new framework called AMG improves unsupervised anomaly detection in complex attributed multiplex heterogeneous networks by integrating multi-channel graph convolutional ...
A new framework called AMG improves unsupervised anomaly detection in complex attributed multiplex heterogeneous networks by integrating multi-channel graph convolutional ...
Researchers at Vishwakarma University and collaborating institutions have introduced AlertSafeNet, a multichannel deep learning framework designed to detect anomalous gait ...
A condition-adaptive framework combining sequence-history modelling and conditional quantile regression accurately detects aircraft piston engine pressure anomalies while reducing false ...
Physicists have borrowed one of the most elegant constructions from quantum many-body physics and turned it into an anomaly detector ...
A graph-augmented framework called IOTTRUST enriches conventional IoT intrusion detection with network flow topology features, achieving 99.07 percent accuracy and ...
In the generative AI era, the most striking images are often the ones a model invents. A team at King ...
Researchers in Seoul have rebuilt the classic extreme studentized deviate test into an online, self-tuning algorithm that detects anomalies in ...
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© 2025 Scienmag - Science Magazine