The topic of non-intrusive load monitoring (NILM) has seen a significant increase in research interest over the past decade, which led to performance these systems. Nowadays, NILM systems are used numerous applications, particular by energy companies that provide users with an advanced management service different consumption. These mainly based on artificial intelligence algorithms allow disag...

This work presents a framework for updating an estimate of probability distribution, arising from uncertainty propagation using Non-intrusive Polynomial Chaos (NIPC), with scarce experimental measurements Quantity Interest (QoI). In recent years much has been directed towards developing methods combining models different accuracies in order to propagate uncertainty, but the problem improving pr...

Non-intrusive speech intelligibility (SI) prediction from binaural signals is useful in many applications. However, most existing signal-based measures are designed to be applied single-channel signals. Measures specifically take into account the properties of signal often intrusive - characterised by requiring access a clean and typically rely on combining both channels before making predictio...

Models that involve coupled dynamics in a mixed-dimensional geometry are of increasing interest in several applications. Here, we describe the development of a simulation model for flow in fractured porous media, where the fractures and their intersections form a hierarchy of interacting subdomains. We discuss the implementation of a simulation framework, with an emphasis on reuse of existing d...

Capturing 3-D interaction in a non-intrusive and natural way presents some obstacles. A digital camera has some appealing attributes to overcome such problems despite the fact that pictures taken by a camera have no inherent depth information. Several computer vision techniques exist to obtain 3-D information from pictures. Some of these methods tend to be expensive while others are not fully 3...