These days deep learning is the fastest-growing field in the field of Machine Learning (ML)
and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional …

The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …

This paper presents an unsupervised, density-based approach to anomaly detection. The
purpose is to define a smooth yet effective measure of outlierness that can be used to detect …

Large non-residential buildings can contain complex and often inefficient water distribution
systems. As requirements for water increase due to water scarcity and industrialization, it …

The water loss detection and location problem has received great attention in recent years.
In particular, data-driven methods have shown very promising results mainly because they …

This paper investigates an inverse analysis technique to find leaks in water networks and
compares different solution strategies. Although a number of strategies have been proposed …

Big Data Analytics for Fault Detection and its Application in Maintenance diva-portal.org
Digitala Vetenskapliga Arkivet Simple search Advanced search - Research publications …

Technological advances in the process industries during the past decade have resulted in
increasingly complicated processes, systems and products. Therefore, recent researches …

Automatic meter infrastructure (AMI) systems using remote metering are being widely used
to utilize water resources efficiently and minimize non-revenue water. We propose a …

The design of an interval observer for estimation of unmeasured state variables with
application to drinking water distribution systems is described. In particular, the design …