A survey of machine learning methods applied to anomaly detection on drinking-water quality data
Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …
regression, and artificial neural network have been applied most frequently in water quality …
Sensing technologies for monitoring intelligent buildings: A review
This review presents an overview of the existing state-of-the-art practices of improved
performance in buildings required for the algorithmic logic and/or hardware. The main focus …
performance in buildings required for the algorithmic logic and/or hardware. The main focus …
A state-of-the-art review of an optimal sensor placement for contaminant warning system in a water distribution network
Protection of water distribution networks (WDNs) is at the forefront because of the negative
implications of the use of the contaminated water on the public health. In order to safeguard …
implications of the use of the contaminated water on the public health. In order to safeguard …
Optimizing water age and pressure in drinking water distribution networks
N Kourbasis, M Patelis, S Tsitsifli… - Environmental Sciences …, 2020 - mdpi.com
Water distribution networks suffer from high levels of water losses due to leaks and breaks,
mainly due to high operating pressure. One of the most well-known methods to reduce water …
mainly due to high operating pressure. One of the most well-known methods to reduce water …
Division of district metered areas (DMAs) in a part of water supply network using WaterGEMS (Bentley) software: a case study
B Kowalska, P Suchorab, D Kowalski - Applied Water Science, 2022 - Springer
Designing of District metered areas (DMA) schemes is a key element in developing a
technique for detecting and removing unreported leaks in a water distribution system (WDS) …
technique for detecting and removing unreported leaks in a water distribution system (WDS) …
Estimation of water demand in water distribution systems using particle swarm optimization
Demand estimation in a water distribution network provides crucial data for monitoring and
controlling systems. Because of budgetary and physical constraints, there is a need to …
controlling systems. Because of budgetary and physical constraints, there is a need to …
Optimal sensor placement for contamination detection: A multi-objective and probabilistic approach
Water networks are spatially dispersed, easily accessible, and vulnerable to contaminating
intrusions. If contamination is detected too late, then damage to the population may be …
intrusions. If contamination is detected too late, then damage to the population may be …
Using mobile and fixed sensors for optimal monitoring of water distribution network under dynamic water quality simulations
Urban water distribution networks (WDNs) are strategic infrastructures, which have critical
roles in preserving public health and social growth. This study designs a water quality …
roles in preserving public health and social growth. This study designs a water quality …
A simple sensor placement approach for regular monitoring and contamination detection in water distribution networks
Online sensors in water distribution networks primarily serves two purposes:(1) Assures
quality of water delivered to consumers;(2) Early detection of contamination events so as to …
quality of water delivered to consumers;(2) Early detection of contamination events so as to …
Active contamination detection in water-distribution systems
SG Vrachimis, R Lifshitz, DG Eliades… - Journal of Water …, 2020 - ascelibrary.org
In this paper, we propose a novel methodology for altering the area monitored by water
quality sensors in water distribution systems (WDS) when there is suspicion of a …
quality sensors in water distribution systems (WDS) when there is suspicion of a …