Concepedia

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

Chemosphere · 2021 · 107 citations · 72 references

Concepts

EngineeringChemical EngineeringEnvironmental EngineeringMachine LearningBiochar ProductionHeavy Metal AnalysisHeavy Metal ContaminationHeavy Metal RemediationHeavy Metal RemovalBiochar AdsorptionBiochar MaterialsBiochar SorbentsHeavy Metal SorptionMetal SorptionSorptionSorption CapacitySorption Of Heavy Metals

References

72

Bagging Predictors

Leo Breiman · Machine Learning · 1996 · 17K citations · Full text

Bagging predictors

Leo Breiman · Machine Learning · 1996 · 16.4K citations · Full text

Relative distribution of Pb2+ sorption mechanisms by sludge-derived biochar

Huanliang Lu, Weihua Zhang, Yuxi Yang et al. · Water Research · 2011 · 1.1K citations

Engineering, Chemical Engineering, Environmental Engineering +14

WATER IN A CHANGING WORLD

Robert B. Jackson, Stephen R. Carpenter, Clifford N. Dahm et al. · Ecological Applications · 2001 · 1.1K citations · Full text

Natural Resources, Environmental Sciences, Water Resources Management +15

Pyrolysis temperature induced changes in characteristics and chemical composition of biochar produced from conocarpus wastes

Mohammad I. Al‐Wabel, Abdulrasoul Al-Omran, Ahmed H. El-Naggar et al. · Bioresource Technology · 2013 · 1K citations

Engineering, Chemical Engineering, Environmental Engineering +11