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 …
A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions
ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …
parameter modelling is one of the most challenging problems in the water sector. Therefore …
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia
Ensuring availability in terms of quality and quantity and sustainable management of safe,
affordable drinking water is one of the integral parts of envisioning the 2030 Sustainable …
affordable drinking water is one of the integral parts of envisioning the 2030 Sustainable …
Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia
AM Jibrin, M Al-Suwaiyan, A Aldrees, S Dan'azumi… - Scientific Reports, 2024 - nature.com
This study presents an innovative approach for predicting water and groundwater quality
indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical …
indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical …
[HTML][HTML] Variational mode decomposition based random forest model for solar radiation forecasting: new emerging machine learning technology
Forecasting of solar radiation (Radn) can provide an insight vision for the amount of green
and friendly energy sources. Owing to the non-linearity and non-stationarity challenges …
and friendly energy sources. Owing to the non-linearity and non-stationarity challenges …
Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection
Predictions of Earth skin temperature (EST) can provide essential information for diverse
engineering applications such as energy harvesting and agriculture activities. Several …
engineering applications such as energy harvesting and agriculture activities. Several …
Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios
JC Egbueri, JC Agbasi - Geocarto International, 2022 - Taylor & Francis
One of the pivotal decision-making tools for sustainable management of water resources for
various uses is accurate prediction of water quality. In the present paper, multiple linear …
various uses is accurate prediction of water quality. In the present paper, multiple linear …
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa
Z Ibrahim, P Tulay, J Abdullahi - Environmental Science and Pollution …, 2023 - Springer
Abstract Coronavirus disease 2019 (COVID-19) has produced a global pandemic, which
has devastating effects on health, economy and social interactions. Despite the less …
has devastating effects on health, economy and social interactions. Despite the less …
Neurocomputing modelling of hydrochemical and physical properties of groundwater coupled with spatial clustering, GIS, and statistical techniques
Groundwater (GW) is a critical freshwater resource for billions of individuals worldwide.
Rapid anthropogenic exploitation has increasingly deteriorated GW quality and quantity …
Rapid anthropogenic exploitation has increasingly deteriorated GW quality and quantity …