Reference health
An artificial neural network developed for predicting of performance and emissions of a spark ignition engine fueled with butanol–gasoline blends
36/36 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
1 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 36 checked references that resolve
resolves10.1016/j.apenergy.2016.08.051
Multidisciplinary design optimization of the diesel particulate filter in the composite regeneration process
resolves10.1016/j.applthermaleng.2016.02.031
Effect analysis on pressure drop of the continuous regeneration-diesel particulate filter based on NO 2 assisted regeneration
resolves10.1016/j.rser.2017.05.250
Effect of different technologies on combustion and emissions of the diesel engine fueled with biodiesel: A review
resolves10.1016/j.apenergy.2015.10.090
Development of a skeletal mechanism for biodiesel blend surrogates with varying fatty acid methyl esters proportion
resolves10.1016/j.apenergy.2016.08.090
A skeletal mechanism modeling on soot emission characteristics for biodiesel surrogates with varying fatty acid methyl esters proportion
resolves10.1016/j.energy.2016.12.111
Experimental investigation of a spark ignition engine fueled with acetone-butanol-ethanol and gasoline blends
resolves10.1016/j.enconman.2016.02.083
Effect of water-containing acetone–butanol–ethanol gasoline blends on combustion, performance, and emissions characteristics of a spark-ignition engine
resolves10.1016/j.enconman.2016.03.021
Effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled diesel engine
resolves10.1016/j.renene.2008.05.008
Cellulase production using biomass feed stock and its application in lignocellulose saccharification for bio-ethanol production
resolves10.1016/j.apenergy.2009.03.015
Recent trends in global production and utilization of bio-ethanol fuel
resolves10.1007/s00449-007-0114-3
Bioconversion of municipal solid waste to glucose for bio-ethanol production
resolves10.1016/j.fuel.2016.07.063
Combustion, performance and emissions characteristics of a spark-ignition engine fueled with isopropanol-n-butanol-ethanol and gasoline blends
resolves10.1016/j.renene.2016.04.052
Thermodynamic multi-objective optimization of a solar-dish Brayton system based on maximum power output, thermal efficiency and ecological performance
resolves10.1016/j.ijepes.2014.07.027
Thermo-economic multi-objective optimization for a solar-dish Brayton system using NSGA-II and decision making
resolves10.1016/j.enconman.2014.02.049
Experimental investigation of engine performance and exhaust emissions of a diesel engine fueled with diesel – n -butanol – vegetable oil blends
resolves10.2516/ogst/2009034
Evaluation of Butanol–Gasoline Blends in a Port Fuel-injection, Spark-Ignition Engine
resolves10.1115/1.3043810
A Comparison of Ethanol and Butanol as Oxygenates Using a Direct-Injection, Spark-Ignition Engine
resolves10.1016/j.fuel.2011.11.040
Emission characteristics of a spark-ignition engine fuelled with gasoline-n-butanol blends in combination with EGR
resolves10.1016/j.energy.2013.07.055
The heat release analysis of bio-butanol/gasoline blends on a high speed SI (spark ignition) engine
resolves10.1016/j.eswa.2008.12.005
Prediction of performance and exhaust emissions of a diesel engine fueled with biodiesel produced from waste frying palm oil
resolves10.1016/j.eswa.2010.02.128
Prediction of diesel engine performance using biofuels with artificial neural network
resolves10.1016/j.jngse.2014.08.002
Development of an ANN based system identification tool to estimate the performance-emission characteristics of a CRDI assisted CNG dual fuel diesel engine
resolves10.1016/j.apenergy.2009.10.009
CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network
resolves10.1016/j.energy.2013.08.027
Artificial neural network prediction of exhaust emissions and flame temperature in LPG (liquefied petroleum gas) fueled low swirl burner
resolves10.1016/j.apenergy.2008.09.017
Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network
resolves10.1016/j.fuel.2012.12.040
Prediction of a gasoline engine performance with artificial neural network
resolves10.1016/j.energy.2012.10.052
Prediction of engine performance and exhaust emissions for gasoline and methanol using artificial neural network
resolves10.1016/j.jclepro.2015.03.035
Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine
resolves10.1016/j.apenergy.2009.08.016
Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks
resolves10.4271/2015-01-0908
Combustion and Emissions Performance of a Spark Ignition Engine Fueled with Water Containing Acetone-Butanol-Ethanol and Gasoline Blends
resolves10.4271/2015-01-0891
Comparative Study of High-Alcohol-Content Gasoline Blends in an SI Engine
resolves10.1016/j.enconman.2003.11.024
Effects of ethanol addition on performance and emissions of a turbocharged indirect injection Diesel engine running at different injection pressures
The 1 reference without a DOI — listed, not checked
no DOI — not checkedLean combustion: technology and control
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