Predicting water quality with artificial intelligence: A review of methods and applications
D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …
daily activities such as drinking. The water quality has a significant impact on various …
[HTML][HTML] Towards synoptic water monitoring systems: a review of AI methods for automating water body detection and water quality monitoring using remote sensing
Water features (eg, water quantity and water quality) are one of the most important
environmental factors essential to improving climate-change resilience. Remote sensing …
environmental factors essential to improving climate-change resilience. Remote sensing …
Water quality classification using machine learning algorithms
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …
classification schemes. Consequently, different methods provide a number of interpretations …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
Hydrogeochemical evaluation of groundwater aquifers and associated health hazard risk mapping using ensemble data driven model in a water scares plateau region …
Health hazard risk mapping (HHRM) is an important technique used to estimate the potential
health risk of an individual, a group, or an entire community of a region. To further progress …
health risk of an individual, a group, or an entire community of a region. To further progress …
Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms
H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
[HTML][HTML] Modelling and prediction of water quality by using artificial intelligence
M Hmoud Al-Adhaileh, F Waselallah Alsaade - Sustainability, 2021 - mdpi.com
Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …
systems and help ensure compliance with the quality of drinking and wastewater treatment …
Machine learning algorithms for efficient water quality prediction
Water is an essential resource for human existence. In fact, more than 60% of the human
body is made up of water. Our bodies consume water in every cell, in the different organisms …
body is made up of water. Our bodies consume water in every cell, in the different organisms …
[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …