Related references
Note: Only part of the references are listed.Fast characterization of biomass and waste by infrared spectra and machine It learning models
Junyu Tao et al.
JOURNAL OF HAZARDOUS MATERIALS (2020)
Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology?
Fangwei Cheng et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Predictions of energy recovery from hydrochar generated from the hydrothermal carbonization of organic wastes
Liang Li et al.
RENEWABLE ENERGY (2020)
Vermiculite modification increases carbon retention and stability of rice straw biochar at different carbonization temperatures
Yuxue Liu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Bioleaching of heavy metals from wastewater sludge with the aim of land application
Wei Yang et al.
CHEMOSPHERE (2020)
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Jie Li et al.
APPLIED ENERGY (2020)
Prediction of Bio-oil Yield and Hydrogen Contents Based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions
Qinghui Tang et al.
ENERGY & FUELS (2020)
Metagenomic approach reveals the fate of antibiotic resistance genes in a temperature-raising anaerobic digester treating municipal sewage sludge
Rui Xu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods
Abhijeet Pathy et al.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS (2020)
Slow pyrolysis as a platform for negative emissions technology: An integration of machine learning models, life cycle assessment, and economic analysis
Fangwei Cheng et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Synthesis, characterization and machine learning based performance prediction of straw activated carbon
Wen Jiang et al.
JOURNAL OF CLEANER PRODUCTION (2019)
ANN-Kriging hybrid model for predicting carbon and inorganic phosphorus recovery in hydrothermal carbonization
Hamza Y. Ismail et al.
WASTE MANAGEMENT (2019)
Data-driven prediction of battery cycle life before capacity degradation
Kristen A. Severson et al.
NATURE ENERGY (2019)
Gasification performance of the hydrochar derived from co-hydrothermal carbonization of sewage sludge and sawdust
Jing Ma et al.
ENERGY (2019)
Combination of hydrothermal carbonization and oxy-fuel combustion process for sewage sludge treatment: Combustion characteristics and kinetics analysis
Tingting Liu et al.
FUEL (2019)
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
Xinzhe Zhu et al.
BIORESOURCE TECHNOLOGY (2019)
Environmental and economic benefits of carbon emission reduction in animal husbandry via the circular economy: Case study of pig farming in Liaoning, China
Yu-nan Xue et al.
JOURNAL OF CLEANER PRODUCTION (2019)
The application of machine learning methods for prediction of metal sorption onto biochars
Xinzhe Zhu et al.
JOURNAL OF HAZARDOUS MATERIALS (2019)
Synergies between BECCS and Biochar-Maximizing Carbon Sequestration Potential by Recycling Wood Ash
Wolfram Buss et al.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING (2019)
Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important Variables
Yasuhiro Date et al.
ANALYTICAL CHEMISTRY (2018)
Pyrolysis of switchgrass in an auger reactor for biochar production: A greenhouse gas and energy impacts assessment
Patrick Brassard et al.
BIOMASS & BIOENERGY (2018)
Behavior of Stable Carbon and Stable Nitrogen Isotopes during Hydrothermal Carbonization of biomass
M. Toufiq Reza et al.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS (2018)
Hydrothermal carbonization of anaerobic granular sludge: Effect of process temperature on nutrients availability and energy gain from produced hydrochar
Yang Yu et al.
APPLIED ENERGY (2018)
Hydrothermal and alkaline hydrothermal pretreatments plus anaerobic digestion of sewage sludge for dewatering and biogas production: Bench-scale research and pilot-scale verification
Chunxing Li et al.
WATER RESEARCH (2017)
Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach
Hongliang Cao et al.
BIORESOURCE TECHNOLOGY (2016)
Hydrothermal treatment coupled with mechanical expression at increased temperature for excess sludge dewatering: Heavy metals, volatile organic compounds and combustion characteristics of hydrochar
Liping Wang et al.
CHEMICAL ENGINEERING JOURNAL (2016)
Investigating the role of feedstock properties and process conditions on products formed during the hydrothermal carbonization of organics using regression techniques
Liang Li et al.
BIORESOURCE TECHNOLOGY (2015)
Hydrothermal carbonisation of sewage sludge: Effect of process conditions on product characteristics and methane production
E. Danso-Boateng et al.
BIORESOURCE TECHNOLOGY (2015)
Food waste generation and industrial uses: A review
Francesca Girotto et al.
WASTE MANAGEMENT (2015)
Biochar as a sorbent for contaminant management in soil and water: A review
Mahtab Ahmad et al.
CHEMOSPHERE (2014)
Machine learning models for predicting PAHs bioavailability in compost amended soils
Guozhong Wu et al.
CHEMICAL ENGINEERING JOURNAL (2013)
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton et al.
IEEE SIGNAL PROCESSING MAGAZINE (2012)
Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms
Shaban Shataee et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Why energy from waste incineration is an essential component of environmentally responsible waste management
A Porteous
WASTE MANAGEMENT (2005)