A reproducible neuro-fuzzy framework for interpretable anomaly detection in wireless sensor network data streams
Anomaly detection in wireless sensor networks plays an important role in providing a reliable mechanism for environmental monitoring, healthcare, and industrial automation. Statistical as well as clustering techniques have their own restrictions regarding adaptability whereas machine learning and deep learning algorith...