Graph neural networks in IoT: A survey

G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai… - ACM Transactions on …, 2023 - dl.acm.org
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

[HTML][HTML] A guideline for successful calibration and uncertainty analysis for soil and water assessment: a review of papers from the 2016 international SWAT conference

KC Abbaspour, SA Vaghefi, R Srinivasan - Water, 2017 - mdpi.com
Application of integrated hydrological models to manage a watershed's water resources are
increasingly finding their way into the decision-making processes. The Soil and Water …

[HTML][HTML] A systematic review of the state of cyber-security in water systems

N Tuptuk, P Hazell, J Watson, S Hailes - Water, 2021 - mdpi.com
Critical infrastructure systems are evolving from isolated bespoke systems to those that use
general-purpose computing hosts, IoT sensors, edge computing, wireless networks and …

Battle of the attack detection algorithms: Disclosing cyber attacks on water distribution networks

R Taormina, S Galelli, NO Tippenhauer… - Journal of Water …, 2018 - ascelibrary.org
Abstract The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent
competition on planning and management of water networks undertaken within the Water …

[HTML][HTML] Global resilience analysis of water distribution systems

K Diao, C Sweetapple, R Farmani, G Fu, S Ward… - Water research, 2016 - Elsevier
Evaluating and enhancing resilience in water infrastructure is a crucial step towards more
sustainable urban water management. As a prerequisite to enhancing resilience, a detailed …

[HTML][HTML] A graph-theoretic framework for assessing the resilience of sectorised water distribution networks

M Herrera, E Abraham, I Stoianov - Water Resources Management, 2016 - Springer
Water utilities face a challenge in maintaining a good quality of service under a wide range
of operational management and failure conditions. Tools for assessing the resilience of …

Characterizing cyber-physical attacks on water distribution systems

R Taormina, S Galelli, NO Tippenhauer… - Journal of Water …, 2017 - ascelibrary.org
This work contributes a modeling framework to characterize the effect of cyber-physical
attacks (CPAs) on the hydraulic behavior of water distribution systems. The framework …

[HTML][HTML] Machine learning model and strategy for fast and accurate detection of leaks in water supply network

X Fan, X Zhang, XB Yu - Journal of Infrastructure Preservation and …, 2021 - Springer
The water supply network (WSN) is subjected to leaks that compromise its service to the
communities, which, however, is challenging to identify with conventional approaches …

Deep-learning approach to the detection and localization of cyber-physical attacks on water distribution systems

R Taormina, S Galelli - Journal of Water Resources Planning and …, 2018 - ascelibrary.org
The recent increase in frequency and severity of cyber-physical attacks on water treatment
plants and distribution systems calls for the development of intrusion detection schemes that …

Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data

Z Li, H Liu, C Zhang, G Fu - Water Research, 2024 - Elsevier
Ensuring the safety and reliability of drinking water supply requires accurate prediction of
water quality in water distribution networks (WDNs). However, existing hydraulic model …