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                <identifier>oai:data.mendeley.com/cj4hc9f2g4.3</identifier>
                <datestamp>2023-08-25T14:17:38Z</datestamp>
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    <dc:creator>Machaka, Ronald</dc:creator>
    <dc:title>Prediction of narrow HT-SMA thermal hysteresis using machine learning: A data file</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>These data are reported in a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1].

Reference:
[1]	Ronald Machaka, Precious M. Radingoana, Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning, Mater. Today Commun. 35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
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    <dc:subject>Materials Science</dc:subject>
    <dc:subject>Shape Memory Alloys</dc:subject>
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    <dc:identifier>oai:data.mendeley.com/cj4hc9f2g4.3</dc:identifier>
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