Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass

Deep learning based real-time energy extraction system modeling for flapping foil

(2022) Yunzhu Li et al.   ENERGY

Wind power prediction based on outlier correction, ensemble reinforcement learning, and residual correction

(2022) Shi Yin et al.   ENERGY

Renewable hydrogen production from the organic fraction of municipal solid waste through a novel carbon-negative process concept

(2022) Shule Wang et al.   ENERGY

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine

(2022) Dezhi Li et al.   ENERGY

Machine learning prediction of the yield and oxygen content of bio-oil via biomass characteristics and pyrolysis conditions

(2022) Ke Yang et al.   ENERGY

Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance

(2021) Ana M. Barragán-Montero et al.   Physica Medica-European Journal of Medical Physics

A Comparative Study of Machine Learning Methods for Bio-oil Yield Prediction – A Genetic Algorithm-Based Features Selection

(2021) Zahid Ullah et al.   BIORESOURCE TECHNOLOGY

Evaluation of lignin inhibition in anaerobic digestion from the perspective of reducing the hydrolysis rate of holocellulose

(2021) Pengfei Li et al.   BIORESOURCE TECHNOLOGY

A multi-objective hybrid machine learning approach-based optimization for enhanced biomass and bioactive phycobiliproteins production in Nostoc sp. CCC-403

(2021) Dinesh Kumar Saini et al.   BIORESOURCE TECHNOLOGY

Prediction of solar energy guided by pearson correlation using machine learning

(2021) Imane Jebli et al.   ENERGY

Compositional components and methane production potential of typical vegetable wastes

(2021) Hu Yan et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics

(2021) Qinghui Tang et al.   BIORESOURCE TECHNOLOGY

The role of machine learning to boost the bioenergy and biofuels conversion

(2021) Zhengxin Wang et al.   BIORESOURCE TECHNOLOGY

Effects of green bonds on Taiwan's bioenergy development

(2021) Chih-Chun Kung et al.   ENERGY

Effects of carbon cloth on anaerobic digestion of high concentration organic wastewater under various mixing conditions

(2021) Dong Feng et al.   JOURNAL OF HAZARDOUS MATERIALS

A comprehensive review of green policy, anaerobic digestion of animal manure and chicken litter feedstock potential – Global and Irish perspective

(2021) N. Bhatnagar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Anaerobic Digestion of Lignocellulosic Waste Materials

(2021) Vasiliki Kamperidou et al.   Sustainability

Accurate prediction of chemical exergy of technical lignins for exergy-based assessment on sustainable utilization processes

(2021) Youwang Huang et al.   ENERGY

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

(2021) Matheus Henrique Dal Molin Ribeiro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Biomethane production by typical straw anaerobic digestion: Deep insights of material compositions and surface properties

(2020) Xiaohu Dai et al.   BIORESOURCE TECHNOLOGY

Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search

(2020) M.A. Mujtaba et al.   RENEWABLE ENERGY

A machine learning Automated Recommendation Tool for synthetic biology

(2020) Tijana Radivojević et al.   Nature Communications

Chlorella vulgaris FSP-E cultivation in waste molasses: Photo-to-property estimation by artificial intelligence

(2020) Guo Yong Yew et al.   CHEMICAL ENGINEERING JOURNAL

Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

(2020) Ahmet Coşgun et al.   RENEWABLE ENERGY

Carbon cloth facilitates semi-continuous anaerobic digestion of organic wastewater rich in volatile fatty acids from dark fermentation

(2020) Dong Feng et al.   ENVIRONMENTAL POLLUTION

Correlation between empirical formulae based stoichiometric and experimental methane potential and calorific energy values for vegetable solid wastes

(2020) Prem Ananth Surendran C. et al.   Energy Reports

A novel mathematical modelling of waste biomass decomposition to facilitate rapid methane potential prediction

(2019) Ali Heidarzadeh Vazifehkhoran et al.   JOURNAL OF CLEANER PRODUCTION

Development of statistical predictive models for estimating the methane yield of Italian municipal sludges from chemical composition: a preliminary study

(2019) A. Catenacci et al.   WATER SCIENCE AND TECHNOLOGY

Predicting the Biomethanation Potential of Some Lignocellulosic Feedstocks using Linear Regression Models: The Effect of Pretreatment

(2019) Supachai Hirunsupachote et al.   KSCE Journal of Civil Engineering

Comparison of physics‐based and data‐driven modelling techniques for dynamic optimisation of fed‐batch bioprocesses

(2019) Ehecatl Antonio Del Rio‐Chanona et al.   BIOTECHNOLOGY AND BIOENGINEERING

A survey on ensemble learning

(2019) Xibin Dong et al.   Frontiers of Computer Science

Predictive modeling of biomass gasification with machine learning-based regression methods

(2019) Furkan Elmaz et al.   ENERGY

Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms

(2019) Luguang Wang et al.   BIORESOURCE TECHNOLOGY

Particle size reduction of rice straw enhances methane production under anaerobic digestion

(2019) Xiaohu Dai et al.   BIORESOURCE TECHNOLOGY

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Challenges and opportunities of lignocellulosic biomass for anaerobic digestion

(2018) Subhash Paul et al.   RESOURCES CONSERVATION AND RECYCLING

Influence of chemical composition on biochemical methane potential of fruit and vegetable waste

(2018) Thiago Edwiges et al.   WASTE MANAGEMENT

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Deep learning for biology

(2018) Sarah Webb   NATURE

Comparative analysis of methods and models for predicting biochemical methane potential of various organic substrates

(2018) R.P. Rodrigues et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Wood moisture content prediction using feature selection techniques and a kernel method

(2017) Hela Daassi-Gnaba et al.   NEUROCOMPUTING

Rapid biochemical methane potential prediction of urban organic waste with near-infrared reflectance spectroscopy

(2017) T. Fitamo et al.   WATER RESEARCH

Degradation of Fibre and Non-fibre Fractions During Anaerobic Digestion in Silages of Maize, Sunflower and Sorghum-Sudangrass of Different Maturities

(2016) Liina Nurk et al.   BioEnergy Research

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

(2016) Hongliang Cao et al.   BIORESOURCE TECHNOLOGY

Towards a standardization of biomethane potential tests

(2016) C. Holliger et al.   WATER SCIENCE AND TECHNOLOGY

Can Biomethane Potential (BMP) Be Predicted from Other Variables Such As Biochemical Composition in Lignocellulosic Biomass and Related Organic Residues?

(2015) Rémy Bayard et al.   BioEnergy Research

Evaluation of the correlations between biodegradability of lignocellulosic feedstocks in anaerobic digestion process and their biochemical characteristics

(2015) X. Liu et al.   BIOMASS & BIOENERGY

Rapid estimation of the biochemical methane potential of plant biomasses using Fourier transform mid-infrared photoacoustic spectroscopy

(2015) Georgios Bekiaris et al.   BIORESOURCE TECHNOLOGY

Biochemical methane potential prediction of plant biomasses: Comparing chemical composition versus near infrared methods and linear versus non-linear models

(2015) Bruno Godin et al.   BIORESOURCE TECHNOLOGY

Early prediction of Biochemical Methane Potential through statistical and kinetic modelling of initial gas production

(2015) Sten Strömberg et al.   BIORESOURCE TECHNOLOGY

Anaerobic digestion of lignocellulosic biomass: Challenges and opportunities

(2015) Chayanon Sawatdeenarunat et al.   BIORESOURCE TECHNOLOGY

Principal component analysis

(2014) Rasmus Bro et al.   Analytical Methods

Predicting the methane yield of lignocellulosic biomass in mesophilic solid-state anaerobic digestion based on feedstock characteristics and process parameters

(2014) Fuqing Xu et al.   BIORESOURCE TECHNOLOGY

Domain adaptation–can quantity compensate for quality?

(2013) Shai Ben-David et al.   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Specific Biogas Yield of Maize Can Be Predicted by the Interaction of Four Biochemical Constituents

(2013) Jürgen Rath et al.   BioEnergy Research

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

(2013) Datong Liu et al.   MICROELECTRONICS RELIABILITY

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Decision trees: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

A new algorithm to characterize biodegradability of biomass during anaerobic digestion: Influence of lignin concentration on methane production potential

(2011) Jin M. Triolo et al.   BIORESOURCE TECHNOLOGY

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS