Recent advances in surface water quality prediction using artificial intelligence models
Q Zhang, X You - Water Resources Management, 2024 - Springer
Accurate water quality prediction plays a vital role in sustainable water management. The
artificial intelligence models commonly used in water management including artificial neural …
artificial intelligence models commonly used in water management including artificial neural …
Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment
SD Latif - Environmental Science and Pollution Research, 2021 - Springer
One of the most critical parameters in concrete design is compressive strength. As the
compressive strength of concrete is correctly measured, time and cost can be decreased …
compressive strength of concrete is correctly measured, time and cost can be decreased …
The Potential of Big Data and Machine Learning for Ground Water Quality Assessment and Prediction
Water, a priceless gift from nature, acts as Earth's matrix, medium, and life-sustaining
substance. While the planet is predominantly covered by water, only 3% is available as …
substance. While the planet is predominantly covered by water, only 3% is available as …
[HTML][HTML] An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dissolved oxygen (DO) level is an important indicator aquaculture quality. This study
proposes an ensembled method, WTD-GWO-SVR, combining wavelet threshold denoising …
proposes an ensembled method, WTD-GWO-SVR, combining wavelet threshold denoising …
[HTML][HTML] Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches
SAA El-Magd, IS Ismael, MAS El-Sabri… - … Science and Pollution …, 2023 - ncbi.nlm.nih.gov
The demands upon the arid area for water supply pose threats to both the quantity and
quality of social and economic activities. Thus, a widely used machine learning model …
quality of social and economic activities. Thus, a widely used machine learning model …
Integrated machine learning–based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches
SA Abu El-Magd, IS Ismael, MAS El-Sabri… - … Science and Pollution …, 2023 - Springer
The demands upon the arid area for water supply pose threats to both the quantity and
quality of social and economic activities. Thus, a widely used machine learning model …
quality of social and economic activities. Thus, a widely used machine learning model …
Smart system for water quality monitoring utilizing long-range-based Internet of Things
MA Murti, ARA Saputra, I Alinursafa, AN Ahmed… - Applied Water …, 2024 - Springer
Water is the most basic need for humans and a source of livelihood for humans. Lack of
human awareness to maintain water quality, causing water to become polluted, by both …
human awareness to maintain water quality, causing water to become polluted, by both …
Intelligent data analytics approaches for predicting dissolved oxygen concentration in river: extremely randomized tree versus random forest, MLPNN and MLR
S Heddam - Intelligent Data Analytics for Decision-Support Systems …, 2021 - Springer
This chapter designs intelligent data analytic approaches for predicting dissolved oxygen
concentration in river utilizing extremely randomized tree versus random forest, MLPNN and …
concentration in river utilizing extremely randomized tree versus random forest, MLPNN and …
Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea
Abstract The Nakdong River is a crucial water resource in South Korea, supplying water for
various purposes such as potable water, irrigation, and recreation. However, the river is …
various purposes such as potable water, irrigation, and recreation. However, the river is …