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19 resultsUpdated October 25, 2026
1

Application of artificial neural networks to predict the heavy metal contamination in the Bartin River

Environmental Science and Pollution Research 27(34) (2020)

Handan Ucun Özel; Betül Tuba Gemici; Ercan Gemici; Halil Barış Özel; Mehmet Çetin; Hakan Şevik

2

Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review

Environmental Science and Pollution Research 31(21) (2024)

Johnson C. Agbasi; Johnbosco C. Egbueri

3

Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges

Chemosphere 353 (2024)

Brij Mohan Maurya; Nidhi Raj Yadav; T. Amudha; J. Satheeshkumar; A. Lakshmi Sangeetha; Velusamy Parthasarathy; Mahalaxmi Iyer; Mukesh Yadav; Balachandar Vellingiri

4

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 25(30) (2018)

Ali Akbar Mohammadi; Mahmood Yousefi; Jaber Soltani; Ahmad Gholamalizadeh Ahangar; Safoura Javan

5

Presence of heavy metals in drinking water resources of Iran: a systematic review and meta-analysis

Environmental Science and Pollution Research 28(21) (2021)

Masoumeh Ravanipour; Mahdi Hadi; Noushin Rastkari; Saeedeh Hemmati Borji; Simin Nasseri

6

Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water

Toxics 10(2) (2022)

Kevin Lawrence M. de Jesus; Delia B. Senoro; Jennifer C. Dela Cruz; Eduardo B. Chan

7

Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer

Journal of Contaminant Hydrology 242 (2021)

Khabat Khosravi; Rahim Barzegar; Ali Golkarian; Gianluigi Busico; Emilio Cuoco; Micòl Mastrocicco; Nicolò Colombani; Dario Tedesco; Maria Margarita Ntona; Nerantzis Kazakis

8

A Comparison of Performance of Artificial Neural Networks for Prediction of Heavy Metals Concentration in Groundwater Resources of Toyserkan Plain

Avicenna Journal of Environmental Health Engineering 4(1) (2017)

Meysam Alizamir; Soheil Sobhanardakani

9

Human-visual-perception-like intensity recognition for color rust images based on artificial neural network

Automation in Construction 90 (2018)

Heng-Kuang Shen; Po‐Han Chen; Luh‐Maan Chang

10

Fractionation of heavy metals in bottom sediments in Chahnimeh 1, Zabol, Iran

Environmental Monitoring and Assessment 187(6) (2015)

Safoura Javan; Amir Hessam Hassani; Ahmad Gholamalizadeh Ahangar; Jaber Soltani

11

Copper

CRC Press eBooks (2020)

William James Senior; Ricardo De La Cruz; Luis Tróccoli

12

Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach

DOAJ (DOAJ: Directory of Open Access Journals) (2016)

Meysam Alizamir; Soheil Sobhanardakani

13

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 20(7) (2022)

Jyoti Singh; Sarvanshi Swaroop; Pranay Sharma; V. Mishra

14

Modeling Nitrate Removal by Nano-Scaled Zero-Valent Iron Using Response Surface Methodology

Health Scope 3(3) (2014)

Mohammad Ali Zazouli; Ramazan Ali Dianati Tilaki; Marjan Safarpour

15

Performance Evaluation of MLP and RBF Neural Networks to Estimate the Soil Saturated Hydraulic Conductivity

Modern Applied Science 11(3) (2016)

Elmira Sadat Shams Emamzadeh; Jaber Soltani; Mahmuod Mashal; Moosa Kalanaki; Tohid Asadolahzadeh

16

So sánh khả năng dự đoán chất lượng nước sông Đồng Nai bằng mạng nơ ron nhân tạo và lý thuyết xám

Can Tho University Journal of Science Môi trường 2017 (2017)

Nguyễn Hiền Thân; Chế Đình Lý; Phạm Văn Tất

17

An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater

International Journal of Information Communication Technologies and Human Development 9(4) (2017)

Emmanuel Ajayi Olajubu; Gbemisola Ajayi; İsaiah Adesola Oke; Franklin Ọládiípọ̀ Asahiah

18

MODELING DISSOLVED OXYGEN (DO) CONCENTRATION AT KAINJI HYDROPOWER RESERVOIR USING ARTIFICIAL NEURAL NETWORK

Malaysian Journal of Civil Engineering 30(3) (2018)

Abdulrasaq Apalando Mohammed; Bolaji Fatai Sule; Adebayo Wahab Salami; Adeniyi Ganiyu Adeogun

19

An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater

IGI Global eBooks (2019)

Emmanuel Ajayi Olajubu; Gbemisola Ajayi; İsaiah Adesola Oke; Franklin Ọládiípọ̀ Asahiah