Leveraging machine learning to extract insights and spatial patterns from hydrogeochemical datasets for major groundwater regions in the UAE

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Detalles Bibliográficos
Publicado en:	SN Applied Sciences vol. 7, no. 7 (Jul 2025), p. 764
Autor principal:	ElHaj, Khalid
Otros Autores:	Alshamsi, Dalal, Alblooshi, Balqees, Haile, Fatima, AlRashdi, Shamma, Elabyad, Basant
Publicado:	Springer Nature B.V.
Materias:	Oman Ras Al Khaimah Outliers (statistics) Hydrogeochemistry Datasets Aquifers Radon Sediments Surface water Machine learning Groundwater data Groundwater Outliers (landforms) Water quality Chemical activity Clustering Artificial intelligence Missing data Arid regions Information processing Mountains Plate tectonics Arid zones Fault lines Water chemistry Water sampling Water analysis Lithology Learning algorithms Geology Cluster analysis Vector quantization Environmental tracers Environmental
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