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Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models

Bo Ke, Hoang Nguyen, Xuan-Nam Bui, Bui Hoang Bac, Yosoon Choi, Jian Zhou, Hossein Moayedi, Romulus Costache, Thao Nguyen‐Trang

2021Chemosphere107 citationsDOI

Topics & Concepts

BiocharSupport vector machineSorptionRandom forestWastewaterMachine learningArtificial intelligenceArtificial neural networkComputer scienceEnvironmental scienceChemistryEnvironmental engineeringWaste managementAdsorptionEngineeringPyrolysisOrganic chemistryWater Quality Monitoring and AnalysisWater Quality and Pollution AssessmentAdsorption and biosorption for pollutant removal
Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models | Litcius