IoT-enabled chlorine level assessment and prediction in water monitoring system using machine learning

CV Chinnappan, AD John William, SKC Nidamanuri… - Electronics, 2023 - mdpi.com
The significance of user participation in sustaining drinking water quality and assessing
other factors, such as cleanliness, sanitary conditions, preservation, and waste treatment, is …

[HTML][HTML] Water-quality prediction based on H2O AutoML and explainable AI techniques

HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani… - Water, 2023 - mdpi.com
Rapid expansion of the world's population has negatively impacted the environment, notably
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …

Water wise–a digital water solution for smart cities and water management entities

I Figueiredo, P Esteves, P Cabrita - Procedia computer science, 2021 - Elsevier
Efficient water management of the urban water cycle is one of the current concerns with the
increase of (peri) urban areas due to the population growth, economic development, and …

Water quality monitoring using IoT & machine learning

A Omambia, B Maake… - 2022 IST-Africa …, 2022 - ieeexplore.ieee.org
Safe water access is fundamental form of human survival and it is presented as a
fundamental human right. As consumers use water, primarily sourced from pipes and …

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm

SRS Chakravarthy, N Bharanidharan… - IEEE …, 2023 - ieeexplore.ieee.org
Water is a predominant source in the survival and development of all human lives. On top of
all, predicting water quality is a significant one since water is essential in regulating our …

Deep learning for water quality classification in water distribution networks

EQ Shahra, W Wu, S Basurra, S Rizou - International Conference on …, 2021 - Springer
Maintaining high water quality is the main goal for water management planning and iterative
evaluation of operating policies. For effective water monitoring, it is crucial to test a vast …

[HTML][HTML] Detecting and locating chemical intrusion in water distribution systems using 911 calls

E Roshani, P Popov, Y Kleiner, S Sanjari… - Journal of …, 2024 - iwaponline.com
Intentional or unintentional chemical contamination of water distribution systems (WDSs)
could have severe health and socio-economic consequences. High potency chemicals …

Integrating fuzzy logic with Pearson correlation to optimize contaminant detection in water distribution system with uncertainty analyses

SA Osmani, BK Banik, H Ali - Environmental monitoring and assessment, 2019 - Springer
An effective detection algorithm, supervising an online water system, is expected to monitor
changes in water quality due to any contamination. However, contemporary event detection …

[PDF][PDF] Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques. Water 2023, 15, 475

HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani… - 2023 - academia.edu
Rapid expansion of the world's population has negatively impacted the environment, notably
water quality. As a result, water-quality prediction has arisen as a hot issue during the last …

Machine Learning Based Contamination Detection in Water Distribution System

A Fikre, G Alemu - Zede Journal, 2024 - ajol.info
Water is a necessary component of all human activities. According to the United Nations
World Water Assessment Program, every day, 2 million tons of sewage, manufacturing, and …