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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. Saroughi M, et al. Among authors: vishwakarma dk. Heliyon. 2024 Apr 2;10(7):e29006. doi: 10.1016/j.heliyon.2024.e29006. eCollection 2024 Apr 15. Heliyon. 2024. PMID: 38601575 Free PMC article.
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration.
Joshi B, Singh VK, Vishwakarma DK, Ghorbani MA, Kim S, Gupta S, Chandola VK, Rajput J, Chung IM, Yadav KK, Mirzania E, Al-Ansari N, Mattar MA. Joshi B, et al. Among authors: vishwakarma dk. Sci Rep. 2024 May 9;14(1):10638. doi: 10.1038/s41598-024-61339-1. Sci Rep. 2024. PMID: 38724562 Free PMC article.
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. Elbeltagi A, et al. Among authors: vishwakarma dk. Environ Sci Pollut Res Int. 2023 Mar;30(15):43183-43202. doi: 10.1007/s11356-023-25221-3. Epub 2023 Jan 17. Environ Sci Pollut Res Int. 2023. PMID: 36648725
20 results