1 |
Detection of Gasoline Adulteration Using Modified Distillation Curves and Artificial Neural Network Foroughi B, Shahrouzi JR, Nemati R Chemical Engineering & Technology, 44(3), 527, 2021 |
2 |
Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies Bhowmik S, Paul A, Panua R, Ghosh SK, Debroy D Fuel, 235, 317, 2019 |
3 |
Estimation of the composition of soybean biodiesel/soybean oil blends from permittivity measurements Corach J, Galvan EF, Sorichetti PA, Romano SD Fuel, 235, 1309, 2019 |
4 |
Application of time-domain NMR as a methodology to quantify adulteration of diesel fuel with soybean oil and frying oil Cunha DA, Neto AC, Colnago LA, Castro EVR, Barbosa LL Fuel, 252, 567, 2019 |
5 |
Performance-exhaust emission prediction of diesosenol fueled diesel engine: An ANN coupled MORSM based optimization Bhowmik S, Paul A, Panua R, Ghosh SK, Debroy D Energy, 153, 212, 2018 |
6 |
Rapid and sensitive method for detecting adulterants in gasoline using ultra-fast gas chromatography and Partial Least Square Discriminant Analysis Nespeca MG, Munhoz JFVL, Flumignan DL, de Oliveira JE Fuel, 215, 204, 2018 |
7 |
Extraction and determination of volatile organic acid concentration in pomegranate, sour cherry, and red grape juices by PPy-Ag nanocomposite fiber for authentication Ghasemi F, Pirsa S, Alizadeh M, Mohtarami F Separation Science and Technology, 53(1), 117, 2018 |
8 |
Melamine dependent fluorescence of glutathione protected gold nanoclusters and ratiometric quantification of melamine in commercial cow milk and infant formula Kalaiyarasan G, Anusuya K, Joseph J Applied Surface Science, 420, 963, 2017 |
9 |
Ultrasonic attenuation and sound velocity assessment for mixtures of gasoline and organic compounds Figueiredo MKK, Alvarenga AV, Costa-Felix RPB Fuel, 191, 170, 2017 |
10 |
Detection and estimation of Super premium 95 gasoline adulteration with Premium 91 gasoline using new NIR spectroscopy combined with multivariate methods Mabood F, Gilani SA, Albroumi M, Alameri S, Al Nabhani MMO, Jabeen F, Hussain J, Al-Harrasi A, Boque R, Farooq S, Hamaed AM, Naureen Z, Khan A, Hussain Z Fuel, 197, 388, 2017 |