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Development of artificial neural networks software for arsenic adsorption from an aqueous environment

A.K. Maurya, M. Nagamani, Seung Won Kang, Jong‐Taek Yeom, Jae‐Keun Hong, Hyokyung Sung, C.H. Park, Uma Maheshwera Reddy Paturi, N.S. Reddy

2021Environmental Research17 citationsDOI

Topics & Concepts

ArsenicAdsorptionArtificial neural networkSoftwareResponse surface methodologyComputer scienceAqueous solutionProcess (computing)Biological systemProcess engineeringMachine learningChemistryEngineeringPhysical chemistryProgramming languageOperating systemOrganic chemistryBiologyArsenic contamination and mitigationAdsorption and biosorption for pollutant removal
Development of artificial neural networks software for arsenic adsorption from an aqueous environment | Litcius