Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource

Vermiculite modification increases carbon retention and stability of rice straw biochar at different carbonization temperatures

(2020) Yuxue Liu et al.   JOURNAL OF CLEANER PRODUCTION

Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning

(2020) Jie Li et al.   APPLIED ENERGY

Bioleaching of heavy metals from wastewater sludge with the aim of land application

(2020) Wei Yang et al.   CHEMOSPHERE

Prediction of Bio-oil Yield and Hydrogen Contents based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions

(2020) Qinghui Tang et al.   ENERGY & FUELS

Metagenomic approach reveals the fate of antibiotic resistance genes in a temperature-raising anaerobic digester treating municipal sewage sludge

(2020) Rui Xu et al.   JOURNAL OF CLEANER PRODUCTION

Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods

(2020) Abhijeet Pathy et al.   Algal Research-Biomass Biofuels and Bioproducts

Synergies between BECCS and biochar - maximizing carbon sequestration potential by recycling wood ash

(2019) Wolfram Buss et al.   ACS Sustainable Chemistry & Engineering

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

ANN-Kriging hybrid model for predicting carbon and inorganic phosphorus recovery in hydrothermal carbonization

(2019) Hamza Y. Ismail et al.   WASTE MANAGEMENT

Gasification performance of the hydrochar derived from co-hydrothermal carbonization of sewage sludge and sawdust

(2019) Jing Ma et al.   ENERGY

Combination of hydrothermal carbonization and oxy-fuel combustion process for sewage sludge treatment: Combustion characteristics and kinetics analysis

(2019) Tingting Liu et al.   FUEL

Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions

(2019) Xinzhe Zhu et al.   BIORESOURCE TECHNOLOGY

Environmental and economic benefits of carbon emission reduction in animal husbandry via the circular economy: Case study of pig farming in Liaoning, China

(2019) Yu-nan Xue et al.   JOURNAL OF CLEANER PRODUCTION

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

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

Fast characterization of biomass and waste by infrared spectra and machine learning models

(2019) Junyu Tao et al.   JOURNAL OF HAZARDOUS MATERIALS

Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology?

(2019) Fangwei Cheng et al.   ENERGY CONVERSION AND MANAGEMENT

Predictions of energy recovery from hydrochar generated from the hydrothermal carbonization of organic wastes

(2019) Liang Li et al.   RENEWABLE ENERGY

Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important Variables

(2018) Yasuhiro Date et al.   ANALYTICAL CHEMISTRY

Pyrolysis of switchgrass in an auger reactor for biochar production: A greenhouse gas and energy impacts assessment

(2018) Patrick Brassard et al.   BIOMASS & BIOENERGY

Behavior of Stable Carbon and Stable Nitrogen Isotopes during Hydrothermal Carbonization of biomass

(2018) M. Toufiq Reza et al.   JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS

Hydrothermal carbonization of anaerobic granular sludge: Effect of process temperature on nutrients availability and energy gain from produced hydrochar

(2018) Yang Yu et al.   APPLIED ENERGY

Synthesis, characterization and machine learning based performance prediction of straw activated carbon

(2018) Wen Jiang et al.   JOURNAL OF CLEANER PRODUCTION

Hydrothermal and alkaline hydrothermal pretreatments plus anaerobic digestion of sewage sludge for dewatering and biogas production: Bench-scale research and pilot-scale verification

(2017) Chunxing Li et al.   WATER RESEARCH

Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach

(2016) Hongliang Cao et al.   BIORESOURCE TECHNOLOGY

Hydrothermal treatment coupled with mechanical expression at increased temperature for excess sludge dewatering: Heavy metals, volatile organic compounds and combustion characteristics of hydrochar

(2016) Liping Wang et al.   CHEMICAL ENGINEERING JOURNAL

Investigating the role of feedstock properties and process conditions on products formed during the hydrothermal carbonization of organics using regression techniques

(2015) Liang Li et al.   BIORESOURCE TECHNOLOGY

Hydrothermal carbonisation of sewage sludge: Effect of process conditions on product characteristics and methane production

(2015) E. Danso-Boateng et al.   BIORESOURCE TECHNOLOGY

Food waste generation and industrial uses: A review

(2015) Francesca Girotto et al.   WASTE MANAGEMENT

Machine learning models for predicting PAHs bioavailability in compost amended soils

(2013) Guozhong Wu et al.   CHEMICAL ENGINEERING JOURNAL

Biochar as a sorbent for contaminant management in soil and water: A review

(2013) Mahtab Ahmad et al.   CHEMOSPHERE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

(2012) Shaban Shataee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING