Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.

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Bibliographic Details
Title: Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.
Authors: Rezapour Sarabi, Misagh1, msarabi19@ku.edu.tr, Alseed, M. Munzer2, munzer.alseed@boun.edu.tr, Karagoz, Ahmet Agah1, akaragoz22@ku.edu.tr, Tasoglu, Savas1,2,3,4,5, stasoglu@ku.edu.tr
Source: Biosensors (2079-6374); Jul2022, Vol. 12 Issue 7, pN.PAG-N.PAG, 16p
Database: Applied Science & Technology Source
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  Data: Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.
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  Data: <searchLink fieldCode="JN" term="%22Biosensors+%282079-6374%29%22">Biosensors (2079-6374)</searchLink>; Jul2022, Vol. 12 Issue 7, pN.PAG-N.PAG, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158210681
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      – Type: doi
        Value: 10.3390/bios12070491
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: N.PAG
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      – TitleFull: Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.
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            NameFull: Rezapour Sarabi, Misagh
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            NameFull: Alseed, M. Munzer
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            NameFull: Karagoz, Ahmet Agah
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            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 12
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              Value: 7
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