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Prognostic of diesel engine emissions and performance based on an intelligent technique for nanoparticle additives

https://doi.org/10.1016/j.energy.2021.121855
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29/29 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.

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The 29 checked references that resolve
resolves10.1016/j.rser.2016.11.056
Progress in performance analysis of ethanol-gasoline blends on SI engine
resolves10.1016/j.energy.2014.04.074
The effect of compression ratio on the performance, emissions and combustion of an SI (spark ignition) engine fueled with pure ethanol, methanol and unleaded gasoline
resolves10.1016/j.csite.2020.100651
Combustion analysis and performance characteristics of compression ignition engines with diesel fuel supplemented with nano-TiO2 and nano-Al2O3
resolves10.1016/j.csite.2018.100381
Performance and emitted pollutants assessment of diesel engine fuelled with biokerosene
resolves10.1016/j.ijhydene.2017.09.072
Performance and emission characteristics of CIE using hydrogen, biodiesel, and massive EGR
resolves10.1016/j.csite.2017.11.006
Novel technique for enhancement of diesel fuel: Impact of aqueous alumina nano-fluid on engine's performance and emissions
resolves10.1016/j.energy.2019.05.200
Performance, regulated and unregulated exhaust emission of a stationary compression ignition engine fueled by water-ULSD emulsion
resolves10.1016/j.fuel.2020.118384
Role of different antioxidants additions to renewable fuels on NOX emissions reduction and smoke number in direct injection diesel engine
resolves10.1016/j.tsep.2020.100535
The impact of adding nano-Al2O3 and nano-ZnO to Iraqi diesel fuel in terms of compression ignition engines' performance and emitted pollutants
resolves10.1155/2010/519659
Applications of Nanofluids: Current and Future
resolves10.1016/j.fuel.2006.03.013
Diesel engine performance and emission evaluation using emulsified fuels stabilized by conventional and gemini surfactants
resolves10.1039/b906384f
Nanofuel as a potential secondary energy carrier
resolves10.1155/2010/581407
Experimental Investigations on the Effects of Cerium Oxide Nanoparticle Fuel Additives on Biodiesel
resolves10.1021/nl0522532
Enhanced Mass Transport in Nanofluids
resolves10.1021/nl080277d
Increased Hot-Plate Ignition Probability for Nanoparticle-Laden Diesel Fuel
resolves10.1016/j.jngse.2015.08.065
Adaptive-neuro fuzzy inference system (ANFIS) based prediction of performance and emission parameters of a CRDI assisted diesel engine under CNG dual-fuel operation
resolves10.1007/s00521-017-2921-z
Adaptive neuro-fuzzy prediction of carbon monoxide emission from a clinical waste incineration plant
resolves10.1080/01430750.2014.952844
Application of fuzzy logic in internal combustion engines to predict the engine performance
resolves10.1016/j.proeng.2012.06.036
Fuzzy Logic Based Prediction of Performance and Emission Parameters of a LPG-Diesel Dual Fuel Engine
resolves10.1016/j.jestch.2018.08.017
Prediction of engine emissions and performance with artificial neural networks in a single cylinder diesel engine using diethyl ether
resolves10.3906/elk-1202-24
Prediction of emissions and exhaust temperature for direct injection diesel engine with emulsified fuel using ANN
resolves10.2298/TSCI120321220O
Artificial neural network approach to predicting engine-out emissions and performance parameters of a turbo charged diesel engine
resolves10.1243/14680874JER00807
Artificial neural network as a predictive tool for emissions from heavy-duty diesel vehicles in Southern California
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.apenergy.2004.07.008
Artificial neural-network based modeling of variable valve-timing in a spark-ignition engine
resolves10.1016/j.energy.2009.08.034
Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends
resolves10.1007/s12046-014-0320-z
Prediction models for performance and emissions of a dual fuel CI engine using ANFIS
resolves10.1007/s13369-013-0637-7
Predicting the Exhaust Emissions of a Spark Ignition Engine Using Adaptive Neuro-Fuzzy Inference System
resolves10.1177/0958305X18779576
Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel: An artificial neural network assisted fuzzy-based topology optimization
The 17 references without a DOI — listed, not checked
no DOI — not checkedInfluence of the effect of nanoparticle additives blended with mahua methyl ester on performance, combustion, and emission characteristics of CRDI diesel engine
no DOI — not checkedA review of nano additive in diesel
no DOI — not checkedDiesel engine performance and emission analysis using oil methyl ester with the nano sized zinc oxide particles
no DOI — not checkedPerformance and emission study on zinc oxide particles addition with promolion stearin wax biodiesel of engine
no DOI — not checkedAn experimental investigation to study the effects of various nano particles with diesel on di diesel engine
no DOI — not checkedNano-fluids for thermal transport
no DOI — not checkedBrownian- motion-based convective-conductive model for the effective thermal conductivity of nano-fluids
no DOI — not checkedThe fuzzy logic modeling of diesel engine emissions using fuel mixed with different ratios of hydrogen
no DOI — not checkedPrediction of NOx emissions from a direct injection diesel engine using artificial neural network
no DOI — not checkedEvaluation of artificial neural network performance in predicting diesel engine NOx emissions
no DOI — not checkedDiesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network
no DOI — not checkedPerformance and emission characteristics of a 4 stroke C.I. engine operated on Honge methyl ester using artificial neural network
no DOI — not checked10.1016/j.energy.2021.121855_bib42
no DOI — not checked10.1016/j.energy.2021.121855_bib43
no DOI — not checkedFrom artificial neural networks to emotion machines with marvin minsky
no DOI — not checkedA novel intelligent predictor for low-rate global positioning system (GPS) system
no DOI — not checkedDiesel engine performance and emission analysis running on jojoba biodiesel using intelligent hybrid prediction techniques
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