139 related articles for article (PubMed ID: 38784559)
1. Stacked hybridization to enhance the performance of artificial neural networks (ANN) for prediction of water quality index in the Bagh river basin, India.
Kushwaha NL; Kudnar NS; Vishwakarma DK; Subeesh A; Jatav MS; Gaddikeri V; Ahmed AA; Abdelaty I
Heliyon; 2024 May; 10(10):e31085. PubMed ID: 38784559
[TBL] [Abstract][Full Text] [Related]
2. Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test.
Vishwakarma DK; Kuriqi A; Abed SA; Kishore G; Al-Ansari N; Pandey K; Kumar P; Kushwaha NL; Jewel A
Heliyon; 2023 May; 9(5):e16290. PubMed ID: 37251828
[TBL] [Abstract][Full Text] [Related]
3. Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration.
Band SS; Janizadeh S; Pal SC; Chowdhuri I; Siabi Z; Norouzi A; Melesse AM; Shokri M; Mosavi A
Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33053663
[TBL] [Abstract][Full Text] [Related]
4. Predicting river dissolved oxygen time series based on stand-alone models and hybrid wavelet-based models.
Xu C; Chen X; Zhang L
J Environ Manage; 2021 Oct; 295():113085. PubMed ID: 34147993
[TBL] [Abstract][Full Text] [Related]
5. Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model.
Mohseni U; Pande CB; Chandra Pal S; Alshehri F
Chemosphere; 2024 Mar; 352():141393. PubMed ID: 38325619
[TBL] [Abstract][Full Text] [Related]
6. Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India.
Elbeltagi A; Pande CB; Kouadri S; Islam ARMT
Environ Sci Pollut Res Int; 2022 Mar; 29(12):17591-17605. PubMed ID: 34671905
[TBL] [Abstract][Full Text] [Related]
7. Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models.
Ke B; Nguyen H; Bui XN; Bui HB; Choi Y; Zhou J; Moayedi H; Costache R; Nguyen-Trang T
Chemosphere; 2021 Aug; 276():130204. PubMed ID: 34088091
[TBL] [Abstract][Full Text] [Related]
8. Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand.
Thanh NN; Chotpantarat S; Ngu NH; Thunyawatcharakul P; Kaewdum N
Environ Res; 2024 Jul; 252(Pt 2):118952. PubMed ID: 38636644
[TBL] [Abstract][Full Text] [Related]
9. Prediction of 5-day biochemical oxygen demand in the Buriganga River of Bangladesh using novel hybrid machine learning algorithms.
Nafsin N; Li J
Water Environ Res; 2022 May; 94(5):e10718. PubMed ID: 35502725
[TBL] [Abstract][Full Text] [Related]
10. Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models.
Elbeltagi A; Pande CB; Kumar M; Tolche AD; Singh SK; Kumar A; Vishwakarma DK
Environ Sci Pollut Res Int; 2023 Mar; 30(15):43183-43202. PubMed ID: 36648725
[TBL] [Abstract][Full Text] [Related]
11. Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm.
Banadkooki FB; Ehteram M; Ahmed AN; Teo FY; Ebrahimi M; Fai CM; Huang YF; El-Shafie A
Environ Sci Pollut Res Int; 2020 Oct; 27(30):38094-38116. PubMed ID: 32621196
[TBL] [Abstract][Full Text] [Related]
12. Pre- and post-dam river water temperature alteration prediction using advanced machine learning models.
Vishwakarma DK; Ali R; Bhat SA; Elbeltagi A; Kushwaha NL; Kumar R; Rajput J; Heddam S; Kuriqi A
Environ Sci Pollut Res Int; 2022 Nov; 29(55):83321-83346. PubMed ID: 35763134
[TBL] [Abstract][Full Text] [Related]
13. A new strategy for groundwater level prediction using a hybrid deep learning model under Ecological Water Replenishment.
Jia Z; Zhang Q; Shi B; Xu C; Liu D; Yang Y; Xi B; Li R
Environ Sci Pollut Res Int; 2024 Apr; 31(16):23951-23967. PubMed ID: 38436858
[TBL] [Abstract][Full Text] [Related]
14. Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models.
Kouadri S; Pande CB; Panneerselvam B; Moharir KN; Elbeltagi A
Environ Sci Pollut Res Int; 2022 Mar; 29(14):21067-21091. PubMed ID: 34748181
[TBL] [Abstract][Full Text] [Related]
15. Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin.
Sakaa B; Elbeltagi A; Boudibi S; Chaffaï H; Islam ARMT; Kulimushi LC; Choudhari P; Hani A; Brouziyne Y; Wong YJ
Environ Sci Pollut Res Int; 2022 Jul; 29(32):48491-48508. PubMed ID: 35192167
[TBL] [Abstract][Full Text] [Related]
16. Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran.
Sattari MT; Farkhondeh A; Patrick Abraham J
Environ Sci Pollut Res Int; 2018 Feb; 25(5):4776-4786. PubMed ID: 29198027
[TBL] [Abstract][Full Text] [Related]
17. Intercomparison of SWAT and ANN techniques in simulating streamflows in the Astore Basin of the Upper Indus.
Khan S; Khan AU; Khan M; Khan FA; Khan S; Khan J
Water Sci Technol; 2023 Oct; 88(7):1847-1862. PubMed ID: 37831000
[TBL] [Abstract][Full Text] [Related]
18. An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland.
Deo RC; Şahin M
Environ Monit Assess; 2016 Feb; 188(2):90. PubMed ID: 26780409
[TBL] [Abstract][Full Text] [Related]
19. Performance assessment of artificial neural networks and support vector regression models for stream flow predictions.
Ateeq-Ur-Rauf ; Ghumman AR; Ahmad S; Hashmi HN
Environ Monit Assess; 2018 Nov; 190(12):704. PubMed ID: 30406854
[TBL] [Abstract][Full Text] [Related]
20. Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer).
Vadiati M; Rajabi Yami Z; Eskandari E; Nakhaei M; Kisi O
Environ Monit Assess; 2022 Jul; 194(9):619. PubMed ID: 35904687
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]