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    A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol

    Source: Journal of Thermal Science and Engineering Applications:;2018:;volume( 010 ):;issue: 004::page 41004
    Author:
    Bhowmik, Subrata
    ,
    Panua, Rajsekhar
    ,
    Kumar Ghosh, Subrata
    ,
    Debroy, Durbadal
    ,
    Paul, Abhishek
    DOI: 10.1115/1.4038709
    Publisher: The American Society of Mechanical Engineers (ASME)
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      A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4252969
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    contributor authorBhowmik, Subrata
    contributor authorPanua, Rajsekhar
    contributor authorKumar Ghosh, Subrata
    contributor authorDebroy, Durbadal
    contributor authorPaul, Abhishek
    date accessioned2019-02-28T11:07:39Z
    date available2019-02-28T11:07:39Z
    date copyright3/30/2018 12:00:00 AM
    date issued2018
    identifier issn1948-5085
    identifier othertsea_010_04_041004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252969
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol
    typeJournal Paper
    journal volume10
    journal issue4
    journal titleJournal of Thermal Science and Engineering Applications
    identifier doi10.1115/1.4038709
    journal fristpage41004
    journal lastpage041004-11
    treeJournal of Thermal Science and Engineering Applications:;2018:;volume( 010 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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