Modelling of municipal solid waste gasification using an optimised ensemble soft computing model

An Artificial Intelligence-based Model for the Prediction of Spontaneous Combustion Liability of Coal Based on Its Proximate Analysis

(2020) Khadija Omar Said et al.   COMBUSTION SCIENCE AND TECHNOLOGY

Analytical assessment of tar generated during gasification of municipal solid waste: Distribution of GC–MS detectable tar compounds, undetectable tar residues and inorganic impurities

(2020) Wei Ping Chan et al.   FUEL

Computational intelligence-based models for predicting the spontaneous combustion liability of coal

(2020) Khadija Omar Said et al.   International Journal of Coal Preparation and Utilization

Application of metaheuristic based artificial neural network and multilinear regression for the prediction of higher heating values of fuels

(2020) Adeyemi Emman Aladejare et al.   International Journal of Coal Preparation and Utilization

The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty

(2020) Ahmad Sharafati et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Prediction of Disc Cutter Life during Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network

(2020) Khalid Elbaz et al.   Engineering

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

(2019) Majid Bagheri et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Phase behavior modeling of asphaltene precipitation utilizing RBF-ANN approach

(2019) Mohammad Navid Kardani et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis

(2019) Moshood Onifade et al.   International Journal of Coal Preparation and Utilization

Syngas production from municipal solid waste with a reduced tar yield by three-stages of air inlet to a downdraft gasifier

(2019) Arif Rahman Saleh et al.   FUEL

Development of a vision-based soft sensor for estimating equivalence ratio and major species concentration in entrained flow biomass gasification reactors

(2018) Yngve Ögren et al.   APPLIED ENERGY

Improved estimation of Cetane number of fatty acid methyl esters (FAMEs) based biodiesels using TLBO-NN and PSO-NN models

(2018) Alireza Baghban et al.   FUEL

Assessment of producer gas composition in air gasification of biomass using artificial neural network model

(2018) Joel George et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

(2018) Xing Chen et al.   Cell Death & Disease

An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification

(2018) Ali Yener Mutlu et al.   ENERGY

Group contribution methods for estimating CO2 absorption capacities of imidazolium and ammonium-based polyionic liquids

(2018) Mohammad Navid Kardani et al.   JOURNAL OF CLEANER PRODUCTION

Utilization of LSSVM strategy to predict water content of sweet natural gas

(2017) Mohammad Navid Kardani et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

(2016) Daya Shankar Pandey et al.   WASTE MANAGEMENT

Artificial neural network models for biomass gasification in fluidized bed gasifiers

(2013) Maria Puig-Arnavat et al.   BIOMASS & BIOENERGY

Multi-step approach for comparing the local air pollution contributions of conventional and innovative MSW thermo-chemical treatments

(2012) M. Ragazzi et al.   CHEMOSPHERE

Effects of resampling method and adaptation on clustering ensemble efficacy

(2011) Behrouz Minaei-Bidgoli et al.   ARTIFICIAL INTELLIGENCE REVIEW

Fluidized Bed Gasification as a Mature And Reliable Technology for the Production of Bio-Syngas and Applied in the Production of Liquid Transportation Fuels—A Review

(2011) Marcin Siedlecki et al.   Energies

Development of data-driven models for fluidized-bed coal gasification process

(2011) P.D. Chavan et al.   FUEL

Simulation of municipal solid waste gasification in two different types of fixed bed reactors

(2011) Chong Chen et al.   FUEL

Municipal solid waste (MSW) as a renewable source of energy: Current and future practices in China

(2010) Hefa Cheng et al.   BIORESOURCE TECHNOLOGY

Overview of recent advances in thermo-chemical conversion of biomass

(2010) Linghong Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Solid waste management in European countries: A review of systems analysis techniques

(2010) Ana Pires et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Modeling of biomass gasification in fluidized bed

(2010) A. Gómez-Barea et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Thermochemical Biomass Gasification: A Review of the Current Status of the Technology

(2009) Ajay Kumar et al.   Energies

Biodiesel and renewable diesel: A comparison

(2009) Gerhard Knothe   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Factors affecting strength and durability of densified biomass products

(2008) Nalladurai Kaliyan et al.   BIOMASS & BIOENERGY

A novel LS-SVMs hyper-parameter selection based on particle swarm optimization

(2008) X.C. Guo et al.   NEUROCOMPUTING

Gasification characteristics of MSW and an ANN prediction model

(2008) Gang Xiao et al.   WASTE MANAGEMENT

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers

(2007) Jie Sun et al.   EXPERT SYSTEMS WITH APPLICATIONS