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, Mohsen; Mirzania, Ehsan; Achite, Mohammed; Katipoğlu, Okan Mert; Al-Ansari, Nadhir; Vishwakarma, Dinesh Kumar; Chung, Il-Moon; Alreshidi, Maha Awjan; Yadav, Krishna Kumar (Heliyon, 2024)
Keywords: Artificial intelligence; case studies; Deep learning; evaporation; Geoteknik; groundwater; Groundwater level; Hybrid algorithm; Iran; Machine learning; neural networks; piezometers; prediction; Soil Mechanics; support vector machines; temperature; water table; wavelet; Iran; Deep learning; Artificial intelligence; Groundwater level; Hybrid algorithm; Machine learning