Abstract A primary task of Non‐intrusive Load Monitoring (NILM) is the identification appliances that are switched on or off. However, state‐of‐the‐art machine learning methods such as deep do not express uncertainty their predictions. Especially in cases where confused, it desirable an NILM system can suggest multiple possible predictions to end‐user, including its confidence and credibility a...

Driving support systems, such as car navigation systems are becoming common and they support driver in several aspects. Non-intrusive method of detecting Fatigue and drowsiness based on eye-blink count and eye directed instruction controlhelps the driver to prevent from collision caused by drowsy driving. Eye detection and tracking under various conditions such as illumination, background, face...