Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study
JC Agbasi, JC Egbueri - Journal of sedimentary environments, 2023 - Springer
Reports have shown that potentially toxic elements (PTEs) in air, water, and soil systems
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage: A transition toward …
D Dadebo, D Obura, N Etyang, D Kimera - Groundwater for Sustainable …, 2023 - Elsevier
The traditional determination of optimum coagulant doses in drinking water treatment plants
(WTPs) using the jar test technique is time-consuming, expensive, significantly influenced by …
(WTPs) using the jar test technique is time-consuming, expensive, significantly influenced by …
[HTML][HTML] Spatial prediction of groundwater withdrawal potential using shallow, hybrid, and deep learning algorithms in the Toudgha Oasis, Southeast Morocco
Water availability is a key factor in territorial sustainable development. Moreover,
groundwater constitutes the survival element of human life and ecosystems in arid oasis …
groundwater constitutes the survival element of human life and ecosystems in arid oasis …
A deep neural multi-model ensemble (DNM2E) framework for modelling groundwater levels over Kerala using dynamic variables
A Keerthana, A Nair - Stochastic Environmental Research and Risk …, 2023 - Springer
Modelling, predicting, and forecasting hydrological phenomena like groundwater have been
one of the prominent applications of artificial intelligence techniques. Using Multi-Layer …
one of the prominent applications of artificial intelligence techniques. Using Multi-Layer …
Comparison of linear regression and logistic regression algorithms for ground water level detection with improved accuracy
CG Raju, V Amudha, G Sajiv - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
Comparison of the innovative Linear Regression and Logistic Regression Algorithms for
Ground Water Level Detection with Improved Accuracy is the goal of this study, which was …
Ground Water Level Detection with Improved Accuracy is the goal of this study, which was …
Analysis of different combinations of meteorological parameters and well characteristics in predicting the groundwater chloride concentration with different empirical …
Y Kassem - Environmental Earth Sciences, 2023 - Springer
The main aim of the present study was to select a better model for predicting the
groundwater salinity in the Gaza Strip, Palestine for the first time. The purpose of this work …
groundwater salinity in the Gaza Strip, Palestine for the first time. The purpose of this work …
Novel Ocean Wave Height and Energy Spectrum Forecasting Approaches: An Application of Semi-Analytical and Machine Learning Models
Accurate and reliable wave forecasting is crucial for optimizing the performance of various
marine operations, such as offshore energy production, shipping, and fishing. Meanwhile …
marine operations, such as offshore energy production, shipping, and fishing. Meanwhile …
Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain
AM Zarajabad, M Hadi, RN Nodehi, M Moradi… - Heliyon, 2024 - cell.com
Groundwater pollution can occur due to both anthropogenic and natural causes, leading to a
decline in water quality and posing a threat to human health and the environment. The …
decline in water quality and posing a threat to human health and the environment. The …
Water Quality Classification Using Machine Learning
FFT Arifin, Z Idrus, SA Halim… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Water quality is crucial as it directly affects the ecosystem and human health. However,
current water quality classification methods are inefficient because they do not compare …
current water quality classification methods are inefficient because they do not compare …
Hydrochemical characteristics assessment and evaluation of groundwater quality through MSTs and irrigation indices
VK Kushwah, KR Singh - Innovative Infrastructure Solutions, 2024 - Springer
Mathura, a city in the northern Indian state of Uttar Pradesh, is famous for its historical and
religious significance. In this research, the quality of the groundwater of Mathura district was …
religious significance. In this research, the quality of the groundwater of Mathura district was …