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                <identifier>oai:data.mendeley.com/mg9ktdw7hf.1</identifier>
                <datestamp>2023-05-05T03:31:50Z</datestamp>
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    <dc:creator>Tufisi, Cristian</dc:creator>
    <dc:title>Assessment of Weak Segments in Cantilever Beams training dataset</dc:title>
    <dc:publisher>Babeș-Bolyai University</dc:publisher>
    <dc:description>This dataset is generated by considering 20 segments of 50 mm along a cantilever beam of 1000 mm in length. Iteratively damage scenarios have been generated by altering Young&apos;s modulus for different segments. With an original relation, we generate as input data the Relative Frequency Shift for training a neural network having as output the altered sectors and also the severity of the alteration.</dc:description>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Damage Mechanics</dc:subject>
    <dc:subject>Damage Classification</dc:subject>
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    <dc:identifier>doi:10.17632/mg9ktdw7hf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/mg9ktdw7hf.1</dc:identifier>
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