Related references
Note: Only part of the references are listed.Recent update on gasification and pyrolysis processes of lignocellulosic and algal biomass for hydrogen production
Kirti Mishra et al.
FUEL (2023)
Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning
Prapaporn Prasertpong et al.
BIORESOURCE TECHNOLOGY (2023)
Hydrogen-rich gas production via steam gasification of food waste over basic oxides (MgO/CaO/SrO) promoted-Ni/Al2O3 catalysts
Surendar Moogi et al.
CHEMOSPHERE (2022)
Biohydrogen production from furniture waste via catalytic gasification in air over Ni-loaded Ultra-stable Y-type zeolite
Soheil Valizadeh et al.
CHEMICAL ENGINEERING JOURNAL (2022)
Exergetic sustainability analysis of municipal solid waste treatment systems: A systematic critical review
Salman Soltanian et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)
Recent approaches on the optimization of biomass gasification process parameters for product H2 and syngas ratio: a review
Muhammad Zain Siddiqui et al.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2022)
Predicting gas production by supercritical water gasification of coal using machine learning
Shanke Liu et al.
FUEL (2022)
A comprehensive artificial neural network model for gasification process prediction
Simon Ascher et al.
APPLIED ENERGY (2022)
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass
Lijian Leng et al.
BIORESOURCE TECHNOLOGY (2022)
Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries
Yadong Yang et al.
RENEWABLE ENERGY (2022)
Gasification of Solid Fuels (Coal, Biomass and MSW): Overview, Challenges and Mitigation Strategies
M. Shahabuddin et al.
ENERGIES (2022)
Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
Ritha Nyirandayisabye et al.
RESULTS IN ENGINEERING (2022)
A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation
Manu Suvarna et al.
APPLIED CATALYSIS B-ENVIRONMENTAL (2022)
Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
Zeeshan Ul Haq et al.
BIORESOURCE TECHNOLOGY (2022)
Interpretable machine learning to model biomass and waste gasification
Simon Ascher et al.
BIORESOURCE TECHNOLOGY (2022)
Characterizing sludge pyrolysis by machine learning: Towards sustainable bioenergy production from wastes
Hossein Shahbeik et al.
RENEWABLE ENERGY (2022)
The possible role of machine learning in detection of increased cardiovascular risk patients - KSC MR Study (design)
Daniel Pella et al.
ARCHIVES OF MEDICAL SCIENCE (2022)
Analysis of methanol synthesis using CO2 hydrogenation and syngas produced from biogas-based reforming processes
Rei-Yu Chein et al.
CHEMICAL ENGINEERING JOURNAL (2021)
A technical review of bioenergy and resource recovery from municipal solid waste
Sonil Nanda et al.
JOURNAL OF HAZARDOUS MATERIALS (2021)
Recovery processes of sustainable energy using different biomass and wastes
Samarjeet Singh Siwal et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning
Senem Sezer et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2021)
Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass
Sheng Zhao et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Region-specific biomass feedstock selection for gasification using multi-attribute decision-making techniques
Joel George et al.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING (2021)
Energy production from steam gasification processes and parameters that contemplate in biomass gasifier - A review
Samarjeet Singh Siwal et al.
BIORESOURCE TECHNOLOGY (2020)
Predictive modeling of biomass gasification with machine learning-based regression methods
Furkan Elmaz et al.
ENERGY (2020)
Data-driven identification and model predictive control of biomass gasification process for maximum energy production
Furkan Elmaz et al.
ENERGY (2020)
Random forest regression for improved mapping of solar irradiance at high latitudes
Bilal Babar et al.
SOLAR ENERGY (2020)
Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis
Ahmad Sharafati et al.
HYDROLOGICAL SCIENCES JOURNAL (2020)
The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty
Ahmad Sharafati et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)
Biomass thermochemical conversion: A review on tar elimination from biomass catalytic gasification
Jie Ren et al.
JOURNAL OF THE ENERGY INSTITUTE (2020)
Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
Emine Elmaslar Ozbas et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2019)
Comprehensive exergoeconomic analysis of a municipal solid waste digestion plant equipped with a biogas genset
Mortaza Aghbashlo et al.
WASTE MANAGEMENT (2019)
Application of Machine Learning Techniques to Predict the Mechanical Properties of Polyamide 2200 (PA12) in Additive Manufacturing
Ivanna Baturynska
APPLIED SCIENCES-BASEL (2019)
Sustainable Waste-to-Energy Development in Malaysia: Appraisal of Environmental, Financial, and Public Issues Related with Energy Recovery from Municipal Solid Waste
Zi Jun Yong et al.
PROCESSES (2019)
Gasification of municipal solid wastes: a review on the tar yields
Zhenling Liu
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2019)
Biopower and biofertilizer production from organic municipal solid waste: An exergoenvironmental analysis
Mortaza Aghbashlo et al.
RENEWABLE ENERGY (2019)
Co-gasification and recent developments on waste-to-energy conversion: A review
Ana Ramos et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Co-gasification of municipal solid waste and biomass in a commercial scale downdraft gasifier
Prakashbhai R. Bhoi et al.
ENERGY (2018)
An overview of advances in biomass gasification
Vineet Singh Sikarwar et al.
ENERGY & ENVIRONMENTAL SCIENCE (2016)
Thermodynamic Evaluation of Portuguese municipal solid waste gasification
Nuno Dinis Couto et al.
JOURNAL OF CLEANER PRODUCTION (2016)
Experimental Investigation of Solid Recovered Fuel (SRF) Gasification: Effect of Temperature and Equivalence Ratio on Process Performance and Release of Minor Contaminants
C. Berrueco et al.
ENERGY & FUELS (2015)
A K-fold averaging cross-validation procedure
Yoonsuh Jung et al.
JOURNAL OF NONPARAMETRIC STATISTICS (2015)
Efficient Machine Learning for Big Data: A Review
Omar Y. Al-Jarrah et al.
BIG DATA RESEARCH (2015)
Gasification of a solid recovered fuel in a pilot scale fluidized bed reactor
Umberto Arena et al.
FUEL (2014)
The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling
A. Mayr et al.
METHODS OF INFORMATION IN MEDICINE (2014)
Modeling of biomass gasification: A review
Dipal Baruah et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Support vector machine in machine condition monitoring and fault diagnosis
Achmad Widodo et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)