Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …
driving sustainability across various sectors. This paper reviews recent advancements in AI …
Digital water: artificial intelligence and soft computing applications for drinking water quality assessment
Water quality deterioration in drinking water systems (ie, system failure) causing serious
outbreaks have frequently been happening around the world. These failures can be …
outbreaks have frequently been happening around the world. These failures can be …
Review of urban drinking water contamination source identification methods
J Gong, X Guo, X Yan, C Hu - Energies, 2023 - mdpi.com
When drinking water flows into the water distribution network from a reservoir, it is exposed
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …
to the risk of accidental or deliberate contamination. Serious drinking water pollution events …
Adoption of artificial intelligence in drinking water operations: A survey of progress in the United States
In recent years, a vision has been shared of how artificial intelligence (AI) can optimize the
increasingly complex operations of drinking water utilities. However, it has been unclear if …
increasingly complex operations of drinking water utilities. However, it has been unclear if …
Decision tree-based conditional operation rules for optimal conjunctive use of surface and groundwater
Conjunctive use (CU) of surface water (SW) and groundwater (GW) implies the optimal
operation of water resources to reduce the negative effects compared to when each of these …
operation of water resources to reduce the negative effects compared to when each of these …
A hybrid data-driven-agent-based modelling framework for water distribution systems contamination response during COVID-19
Contamination events in water distribution systems (WDSs) are highly dangerous events in
very vulnerable infrastructure where a quick response by water utility managers is …
very vulnerable infrastructure where a quick response by water utility managers is …
Research on network intrusion detection technology based on machine learning
F Wu, T Li, Z Wu, SL Wu, CQ **ao - International Journal of Wireless …, 2021 - Springer
Aiming at the problems of low accuracy and efficiency and high false alarm rate in current
network intrusion detection methods, a network intrusion detection method based on …
network intrusion detection methods, a network intrusion detection method based on …
Quantifying mixing in sewer networks for source localization
There has been a recent increase of interest in sewer network water quality, both for
pollutants and wastewater epidemiology. Of particular interest is the ability to perform cost …
pollutants and wastewater epidemiology. Of particular interest is the ability to perform cost …
Application of modified seagull optimization algorithm with archives in urban water distribution networks: Dealing with the consequences of sudden pollution load
Q Wang, M Zhang, S Abdolhosseinzadeh - Heliyon, 2024 - cell.com
This study focuses on the optimization of consequence management actions in the urban
water distribution network. The EPANET simulation model is employed in combination with …
water distribution network. The EPANET simulation model is employed in combination with …
[HTML][HTML] Using the dragonfly algorithm to find the optimal location of quality sensor of Lee and Deininger and Second and Third networks of EPANET software to …
Accessing reliable quantitative and qualitative drinking water is one of the requirements of
human society. Therefore, the water distribution network is designed to distribute reliable …
human society. Therefore, the water distribution network is designed to distribute reliable …