Studies on missing data have increased in the past few decades. It is an uncontrollable
phenomenon and could occur during the data collection in practically any research field …

Internet of Things (IoT) and artificial intelligence (AI) can realize the concept of “smart city.”
Video surveillance in smart cities is, usually, based on a centralized framework in which …

Automatic anomaly detection monitoring plays a vital role in water utilities' distribution
systems to reduce the risk posed by unclean water to consumers. One of the major problems …

Disinfection by-products (DBPs) formation in water distribution networks (WDNs) is a
common type of water quality failure. A reliable DBPs modeling can be a way to prevent a …

Load behaviors significantly impact the planning, dispatching, and operation of the modern
power systems. Load classification has been proved as one of the most effective ways of …

Water cyber-physical systems (CPSs) have experienced anomalies from cyber-physical
attacks as well as conventional physical and operational failures (eg, pipe leaks/bursts). In …

The purpose of this work is to improve the efficiency of monitoring the composition of
wastewater by developing a method for detecting anomalies in time series. The paper …

One of the main objectives of e-commerce retailers is to mitigate parcel loss in the last-mile
delivery. The increasing availability of product-, customer-and order data sparks the …