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Predictive Reliability Assessment and Profit Optimization of an Ice Cream Plant Using an Artificial Neural Network Technique.

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Title: Predictive Reliability Assessment and Profit Optimization of an Ice Cream Plant Using an Artificial Neural Network Technique.
Authors: Tewatia, Akash1, aakashhhtewatia@gmail.com, Gupta, Surbhi1, sgupta11@amity.edu, Kashyap, Manju2, drmanju.kashyap@galgotiacollege.edu, Chauhan, Archana3, archanasingh.chauhan@gmail.com
Source: Baghdad Science Journal; 2026, Vol. 23 Issue 3, p1008-1019, 12p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Predictive Reliability Assessment and Profit Optimization of an Ice Cream Plant Using an Artificial Neural Network Technique.
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  Data: <searchLink fieldCode="AU" term="%22Tewatia%2C+Akash%22">Tewatia, Akash</searchLink><relatesTo>1</relatesTo>, <i>aakashhhtewatia@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Gupta%2C+Surbhi%22">Gupta, Surbhi</searchLink><relatesTo>1</relatesTo>, <i>sgupta11@amity.edu</i><br /><searchLink fieldCode="AU" term="%22Kashyap%2C+Manju%22">Kashyap, Manju</searchLink><relatesTo>2</relatesTo>, <i>drmanju.kashyap@galgotiacollege.edu</i><br /><searchLink fieldCode="AU" term="%22Chauhan%2C+Archana%22">Chauhan, Archana</searchLink><relatesTo>3</relatesTo>, <i>archanasingh.chauhan@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Baghdad+Science+Journal%22">Baghdad Science Journal</searchLink>; 2026, Vol. 23 Issue 3, p1008-1019, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192800365
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      – Type: doi
        Value: 10.21123/2411-7986.5249
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1008
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      – TitleFull: Predictive Reliability Assessment and Profit Optimization of an Ice Cream Plant Using an Artificial Neural Network Technique.
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            NameFull: Tewatia, Akash
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            NameFull: Gupta, Surbhi
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            NameFull: Kashyap, Manju
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 23
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