B. Goldengorin

Pseudo-Boolean polynomial anomaly scoring for intelligent multisensor environmental monitoring

Air quality sensor networks need anomaly detection that works from day one—without training data, without historical baselines, and with results an operator can actually interpret. Existing methods (Isolation Forest, One-Class SVM, LOF) require representative “normal” data for training, which makes them brittle when en...