143 related articles for article (PubMed ID: 38305997)
1. Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran).
Saroughi M; Mirzania E; Achite M; Katipoğlu OM; Ehteram M
Environ Monit Assess; 2024 Feb; 196(3):227. PubMed ID: 38305997
[TBL] [Abstract][Full Text] [Related]
2. Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran).
Saroughi M; Mirzania E; Achite M; Katipoğlu OM; Al-Ansari N; Vishwakarma DK; Chung IM; Alreshidi MA; Yadav KK
Heliyon; 2024 Apr; 10(7):e29006. PubMed ID: 38601575
[TBL] [Abstract][Full Text] [Related]
3. Groundwater level response identification by hybrid wavelet-machine learning conjunction models using meteorological data.
Samani S; Vadiati M; Nejatijahromi Z; Etebari B; Kisi O
Environ Sci Pollut Res Int; 2023 Feb; 30(9):22863-22884. PubMed ID: 36308648
[TBL] [Abstract][Full Text] [Related]
4. Groundwater quality modeling using a novel hybrid data-intelligence model based on gray wolf optimization algorithm and multi-layer perceptron artificial neural network: a case study in Asadabad Plain, Hamedan, Iran.
Ghobadi A; Cheraghi M; Sobhanardakani S; Lorestani B; Merrikhpour H
Environ Sci Pollut Res Int; 2022 Feb; 29(6):8716-8730. PubMed ID: 34491495
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Developing an optimized groundwater exploitation prediction model based on the Harris hawk optimization algorithm for conjunctive use of surface water and groundwater resources.
Nematollahi Z; Sanayei HRZ
Environ Sci Pollut Res Int; 2023 Feb; 30(6):16120-16139. PubMed ID: 36175728
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Redesigning and monitoring groundwater quality and quantity networks by using the entropy theory.
Nazeri Tahroudi M; Khashei Siuki A; Ramezani Y
Environ Monit Assess; 2019 Mar; 191(4):250. PubMed ID: 30919110
[TBL] [Abstract][Full Text] [Related]
10. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.
Barzegar R; Fijani E; Asghari Moghaddam A; Tziritis E
Sci Total Environ; 2017 Dec; 599-600():20-31. PubMed ID: 28463698
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A novel hybrid of support vector regression and metaheuristic algorithms for groundwater spring potential mapping.
Paryani S; Neshat A; Pourghasemi HR; Ntona MM; Kazakis N
Sci Total Environ; 2022 Feb; 807(Pt 3):151055. PubMed ID: 34673066
[TBL] [Abstract][Full Text] [Related]
13. New DRASTIC framework for groundwater vulnerability assessment: bivariate and multi-criteria decision-making approach coupled with metaheuristic algorithm.
Lakshminarayanan B; Ramasamy S; Anuthaman SN; Karuppanan S
Environ Sci Pollut Res Int; 2022 Jan; 29(3):4474-4496. PubMed ID: 34409527
[TBL] [Abstract][Full Text] [Related]
14. Can ensemble machine learning be used to predict the groundwater level dynamics of farmland under future climate: a 10-year study on Huaibei Plain.
Jiang Z; Yang S; Liu Z; Xu Y; Shen T; Qi S; Pang Q; Xu J; Liu F; Xu T
Environ Sci Pollut Res Int; 2022 Jun; 29(29):44653-44667. PubMed ID: 35133582
[TBL] [Abstract][Full Text] [Related]
15. Groundwater Depth Forecasting Using Configurational Entropy Spectral Analyses with the Optimal Input.
Guo T; Song S; Shi J; Li J
Ground Water; 2020 Sep; 58(5):749-758. PubMed ID: 31782144
[TBL] [Abstract][Full Text] [Related]
16. CFHBA-PID Algorithm: Dual-Loop PID Balancing Robot Attitude Control Algorithm Based on Complementary Factor and Honey Badger Algorithm.
Lin J; Zheng R; Zhang Y; Feng J; Li W; Luo K
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746273
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of geostatistical techniques and their hybrid in modelling of groundwater quality index in the Marand Plain in Iran.
Rostami AA; Isazadeh M; Shahabi M; Nozari H
Environ Sci Pollut Res Int; 2019 Dec; 26(34):34993-35009. PubMed ID: 31659709
[TBL] [Abstract][Full Text] [Related]
18. Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area.
Zeng T; Yin K; Jiang H; Liu X; Guo Z; Peduto D
Sci Rep; 2022 Jun; 12(1):11108. PubMed ID: 35773295
[TBL] [Abstract][Full Text] [Related]
19. A hybrid approach based on simulation, optimization, and estimation of conjunctive use of surface water and groundwater resources.
Arya Azar N; Kayhomayoon Z; Ghordoyee Milan S; Zarif Sanayei H; Berndtsson R; Nematollahi Z
Environ Sci Pollut Res Int; 2022 Aug; 29(37):56828-56844. PubMed ID: 35347629
[TBL] [Abstract][Full Text] [Related]
20. Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction.
Ehteram M; Ahmed AN; Latif SD; Huang YF; Alizamir M; Kisi O; Mert C; El-Shafie A
Environ Sci Pollut Res Int; 2021 Jan; 28(2):1596-1611. PubMed ID: 32851519
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
