Application of kernel extreme learning machine and Kriging model in prediction of heavy metals removal by biochar

Magnetic biochars have lower adsorption but higher separation effectiveness for Cd2+ from aqueous solution compared to nonmagnetic biochars

(2021) Fei Huang et al.   ENVIRONMENTAL POLLUTION

Adsorption of emerging contaminants from water and wastewater by modified biochar: A review

(2021) Ning Cheng et al.   ENVIRONMENTAL POLLUTION

Prediction of the diet energy digestion using kernel extreme learning machine: A case study with Holstein dry cows

(2020) Qiang Fu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms

(2020) Ying Zhao et al.   ADVANCES IN WATER RESOURCES

Activation of porous magnetized biochar by artificial humic acid for effective removal of lead ions

(2020) Qing Du et al.   JOURNAL OF HAZARDOUS MATERIALS

Groundwater contamination source identification based on a hybrid particle swarm optimization-extreme learning machine

(2020) Jiuhui Li et al.   JOURNAL OF HYDROLOGY

Towards Augmented Kernel Extreme Learning Models for Bankruptcy Prediction: Algorithmic Behavior and Comprehensive Analysis

(2020) Yanan Zhang et al.   NEUROCOMPUTING

Modelling of the adsorption of Pb, Cu and Ni ions from single and multi-component aqueous solutions by date seed derived biochar: Comparison of six machine learning approaches

(2020) Ali El Hanandeh et al.   ENVIRONMENTAL RESEARCH

A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation

(2020) Lifeng Wu et al.   AGRICULTURAL WATER MANAGEMENT

Raster data projection transformation based-on Kriging interpolation approximate grid algorithm

(2020) Junzhen Meng   Alexandria Engineering Journal

Global profile of heavy metals and semimetals adsorption using drinking water treatment residual

(2019) Cheng Shen et al.   CHEMICAL ENGINEERING JOURNAL

The application of machine learning methods for prediction of metal sorption onto biochars

(2019) Xinzhe Zhu et al.   JOURNAL OF HAZARDOUS MATERIALS

Global evaluation of heavy metal content in surface water bodies: A meta-analysis using heavy metal pollution indices and multivariate statistical analyses

(2019) Vinod Kumar et al.   CHEMOSPHERE

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Qualitative and quantitative correlation of physicochemical characteristics and lead sorption behaviors of crop residue-derived chars

(2018) Yanfei Li et al.   BIORESOURCE TECHNOLOGY

Relative distribution of Cd2+ adsorption mechanisms on biochars derived from rice straw and sewage sludge

(2018) Li-Yang Gao et al.   BIORESOURCE TECHNOLOGY

A novel electrochemical modification combined with one-step pyrolysis for preparation of sustainable thorn-like iron-based biochar composites

(2018) Fan Yang et al.   BIORESOURCE TECHNOLOGY

Black Carbon (Biochar) In Water/Soil Environments: Molecular Structure, Sorption, Stability, and Potential Risk

(2017) Fei Lian et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Characteristics and mechanisms of nickel adsorption on biochars produced from wheat straw pellets and rice husk

(2017) Zhengtao Shen et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

The role of biochar properties in influencing the sorption and desorption of Pb(II), Cd(II) and As(III) in aqueous solution

(2017) Eric F. Zama et al.   JOURNAL OF CLEANER PRODUCTION

Biochar properties and eco-friendly applications for climate change mitigation, waste management, and wastewater treatment: A review

(2017) Naveed Ahmed Qambrani et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Qualitative and quantitative characterisation of adsorption mechanisms of lead on four biochars

(2017) Zhengtao Shen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Copper and zinc adsorption by softwood and hardwood biochars under elevated sulphate-induced salinity and acidic pH conditions

(2016) Shasha Jiang et al.   CHEMOSPHERE

Sorption of lead and methylene blue onto hickory biochars from different pyrolysis temperatures: Importance of physicochemical properties

(2016) Zhuhong Ding et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Capacity and mechanisms of ammonium and cadmium sorption on different wetland-plant derived biochars

(2016) Xiaoqiang Cui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Potential mechanisms of cadmium removal from aqueous solution by Canna indica derived biochar

(2016) Xiaoqiang Cui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Sorption of lead by Salisbury biochar produced from British broadleaf hardwood

(2015) Zhengtao Shen et al.   BIORESOURCE TECHNOLOGY

Geochemical and spectroscopic investigations of Cd and Pb sorption mechanisms on contrasting biochars: Engineering implications

(2014) Lukáš Trakal et al.   BIORESOURCE TECHNOLOGY

Online sequential extreme learning machine with kernels for nonstationary time series prediction

(2014) Xinying Wang et al.   NEUROCOMPUTING

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Effects of feedstock type, production method, and pyrolysis temperature on biochar and hydrochar properties

(2013) Yining Sun et al.   CHEMICAL ENGINEERING JOURNAL

Heavy metal pollution status in surface sediments of the coastal Bohai Bay

(2012) Xuelu Gao et al.   WATER RESEARCH

AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

(2011) B. Echard et al.   STRUCTURAL SAFETY