Academic Journal

A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana
Συγγραφείς: Bosson-Amedenu, SenyefiaAff1, IDs44274026007549_cor1, Ayitey, EmmanuelAff1, Borbor, Bridget SenaAff2
Πηγή: Discover Environment. 4(1)
Βάση Δεδομένων: Springer Nature Journals