Official Publication of Health Promotion Research Center
Scopus by Title (Ref)
Articles that cite the referenced work, matched by title from the Scopus database.
Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review
Environmental Science and Pollution Research
May 2024
Agbasi J.C.
Real-time assessment of the Ganga river during pandemic COVID-19 and predictive data modeling by machine learning
International Journal of Environmental Science and Technology
July 2023
Singh J.
Open Access
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water
Toxics
February 2022
De Jesus K.L.M.
Open Access
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Journal of Contaminant Hydrology
October 2021
Khosravi K.
Presence of heavy metals in drinking water resources of Iran: a systematic review and meta-analysis
Environmental Science and Pollution Research
June 2021
Ravanipour M.
Application of artificial neural networks to predict the heavy metal contamination in the Bartin River
Environmental Science and Pollution Research
1 December 2020
Ucun Ozel H.
An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater
Deep Learning and Neural Networks Concepts Methodologies Tools and Applications
1 January 2019
Olajubu E.A.
Using the combined model of gamma test and neuro-fuzzy system for modeling and estimating lead bonds in reservoir sediments
Environmental Science and Pollution Research
1 October 2018
Mohammadi A.A.
Fractionation of heavy metals in bottom sediments in Chahnimeh 1, Zabol, Iran
Environmental Monitoring and Assessment
1 June 2015
Javan S.