Study on Modeling with Multilayer Perceptron for Detection of Fuel Adulteration Using Python Programming

Babu, U. Vimal; Ramakrishan, M.; Nagamani, M.

doi:10.9734/bpi/cacs/v6/4828f

Cited by 1 publication

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“…21 Major adulterant in the Gasoline such as ethanol, diesel, kerosene, refined petrochemicals, toluene, xylene, hexane, if mixed are releasing toxic gases in air which are harmful to the human beings. The amount of blend can effectively modelled with the mathematical models PCA (Principal Component Analysis) 22 and PLS-DA (Partial Least Squares Discriminant Analysis) also in decide the solvent utilized in adulteration with not less than 97% precision. 23 Certain ratio of the alcohol-Gasoline and gasoline-alcohol mixture is injected into the Internal Combustion engine in order to decrease PN particle number and improve mileage.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

RETRACTED: Environmental and health hazards of fuel adulteration and its detection, safeguards

Babu

Krishna

Mani

et al. 2020

International Journal of Electrical Engineering & Education

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In day to day the usage of the petroleum products are increasing. The utility can be foreseen in the fields of transportation, energy generation, domestic etc. These traders are en cashing the usage to their profits. This is causing health hazards so also the environmental pollution. This has long impact on the ecosystem. The blending of fuels with other similar fuels can detect with the conventional distillation process so also the present computational techniques.

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Section: R E T R a C T E Dmentioning

confidence: 99%