Tag: anomaly detection

A new study shows quantum kernel methods dramatically outperform classical RBF kernels in industrial acoustic anomaly detection when anomaly distributions ...

A large-scale study from the University of São Paulo tested three strategies for detecting outliers in categorical and mixed data ...

Researchers have built an epidemiology-guided machine learning framework that injects SEIR-simulated outbreaks into real Swedish symptom surveillance data to honestly ...

Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...

Researchers have developed a personalized N-of-1 transformer framework that learns an individual's daily behavior patterns from smart home activity logs ...

Researchers at India's National Institutes of Technology used the TPOT AutoML framework to detect anomalies in smartwatch-generated vital signs over ...

Researchers have developed E-GTNet, a hybrid graph neural network that detects and visualizes evolving illicit Bitcoin transaction networks using edge-aware ...

A new spiral-based transformation converts time series into images that let pretrained vision models outperform specialized anomaly detectors across 23 ...

Researchers have developed a spectrum-guided, teacher–student AI framework that adapts its time windows to the rhythms of unlabeled system logs ...

Researchers at Anhui Agricultural University have developed DE-TabNet, a semi-supervised AI model that detects sensor faults in smart drip irrigation ...