AIMC Topic: Water Supply

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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data.

Scientific reports Apr 4, 2025
Over 2 billion people worldwide are impacted by the global dilemma of access to clean and safe drinking water. The problem is most acute in low-income nations, where many people still use unimproved water sources such as exposed wells and surface wat...
Drinking Water Water Supply Neural Networks, Computer Machine Learning Socioeconomic Factors Ethiopia Humans
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Water level estimation in sewage pipes using texture-based methods and machine learning algorithms.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 10, 2025
Water companies use closed-circuit television (CCTV) to inspect the condition of sewage pipes. The reports generated by surveyors help companies to plan for the maintenance and rehabilitation of sewage pipes. A surveyor needs to record the water leve...
Sewage Water Supply Machine Learning Water Algorithms Environmental Monitoring
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Explainable deep learning models for predicting water pipe failures.

Journal of environmental management Mar 6, 2025
Failures within water distribution networks (WDNs) lead to significant environmental and economic impacts. While existing research has established various predictive models for pipe failures, there remains a lack of studies focusing on the probabilit...
Deep Learning Bayes Theorem Neural Networks, Computer Algorithms Water Supply Hong Kong
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Transforming residential water end use analysis: unleashing insights from widespread low-resolution smart metering data.

Water research Feb 20, 2025
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into residential water end use data provides valuable insights for water businesses and their customers. Water end use data is crucial for developing effective ...
Neural Networks, Computer Cities Water Supply Conservation of Water Resources Models, Theoretical Australia
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The reanalysis of a new strategy for groundwater level prediction using combined simulation of machine learning and Muskingum methods under ecological water replenishment.

Environmental research Feb 20, 2025
Due to its multi-functionality, ecological water replenishment (EWR) has been an important measure for restoring aquifers. However, suitable prediction methods need to be selected for the unique fluctuation exhibited by groundwater level (GWL) in the...
Environmental Monitoring Water Supply Models, Theoretical Groundwater Computer Simulation Machine Learning
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Predicting few disinfection byproducts in the water distribution systems using machine learning models.

Environmental science and pollution research international Jan 20, 2025
Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during...
Neural Networks, Computer Machine Learning Water Purification Drinking Water Water Supply Trihalomethanes Disinfection Ontario Disinfectants Water Pollutants, Chemical
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Interpretable deep learning for acoustic leak detection in water distribution systems.

Water research Dec 31, 2024
Leak detection is crucial for ensuring the safety of water systems and conserving water resources. However, current research on machine learning methods for leak detection focuses excessively on model development while neglecting model interpretabili...
Algorithms Deep Learning Neural Networks, Computer Acoustics Water Supply
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Network embedding: The bridge between water distribution network hydraulics and machine learning.

Water research Dec 19, 2024
Machine learning has been increasingly used to solve management problems of water distribution networks (WDNs). A critical research gap, however, remains in the effective incorporation of WDN hydraulic characteristics in machine learning. Here we pre...
Water Supply Machine Learning Water Algorithms
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Making waves: The potential of generative AI in water utility operations.

Water research Dec 7, 2024
Water utilities facing increasingly complex infrastructure and operations stand to significantly benefit from artificial intelligence (AI). Current research in water distribution systems engineering primarily focuses on Specialized AI, which plays a ...
Water Supply Artificial Intelligence
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Deployment of intelligent irrigation monitoring system with Android app for machine learning prediction.

Environmental monitoring and assessment Nov 21, 2024
Water is a fundamental necessity for humans and a critical resource in agriculture. However, water scarcity poses a significant challenge, especially considering that agriculture accounts for a substantial portion of freshwater usage. The inadequate ...
Agriculture Soil Environmental Monitoring Mobile Applications Agricultural Irrigation Machine Learning Water Supply
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