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        <datestamp>2020-05-22T10:49:32Z</datestamp>
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          <identifier identifierType="DOI">10.5522/04/12356696.v2</identifier>
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            <alternateIdentifier alternateIdentifierType="URL">https://figshare.com/articles/dataset/An_Artificial_Intelligence_Approach_to_Optimal_Control_of_Sub-Nanosecond_SOA-Based_Optical_Switches/12356696</alternateIdentifier>
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            <relatedIdentifier relatedIdentifierType="URL" relationType="HasPart">https://ndownloader.figshare.com/files/22773080</relatedIdentifier>
            <relatedIdentifier relatedIdentifierType="URL" relationType="References">https://ieeexplore.ieee.org/document/9124678?arnumber=9124678</relatedIdentifier>
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          <creators>
            <creator>
              <creatorName>Parsonson, Christopher</creatorName>
              <givenName>Christopher</givenName>
              <familyName>Parsonson</familyName>
            </creator>
            <creator>
              <creatorName>Shabka, Zacharaya</creatorName>
              <givenName>Zacharaya</givenName>
              <familyName>Shabka</familyName>
            </creator>
            <creator>
              <creatorName>Chlupka, Konrad</creatorName>
              <givenName>Konrad</givenName>
              <familyName>Chlupka</familyName>
            </creator>
            <creator>
              <creatorName>Goh, Bawang</creatorName>
              <givenName>Bawang</givenName>
              <familyName>Goh</familyName>
            </creator>
            <creator>
              <creatorName>Zervas, Georgios</creatorName>
              <givenName>Georgios</givenName>
              <familyName>Zervas</familyName>
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          <titles>
            <title><![CDATA[Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching]]></title>
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          <subjects>
            <subject>Networking and communications</subject>
            <subject>Optical fibre communication systems and technologies</subject>
            <subject>Computational complexity and computability</subject>
            <subject>Data centre networks</subject>
            <subject>Optical networks</subject>
            <subject>Optical interconnects</subject>
            <subject>Optical switching</subject>
            <subject>Semiconductor optical amplifiers</subject>
            <subject>Artificial Intelligence</subject>
            <subject>Particle swarm optimisation</subject>
            <subject>Ant colony optimisation</subject>
            <subject>Genetic algorithm</subject>
            <subject>Networking and Communications</subject>
            <subject>Optical Networks and Systems</subject>
            <subject>Computer Communications Networks</subject>
            <subject>Analysis of Algorithms and Complexity</subject>
          </subjects>
          <dates>
            <date dateType="Created">2020-06-29</date>
            <date dateType="Updated">2023-05-31</date>
          </dates>
          <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
          <publicationYear>2020</publicationYear>
          <publisher>University College London</publisher>
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            <rights rightsURI="http://purl.org/coar/access_right/c_abf2" rightsIdentifier="open access"/>
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            <description descriptionType="Abstract"><![CDATA[This dataset contains 1) the data plotted and 2) the MATLAB code used to generate the data for the paper 'Optimal Control of SOAs with Artificial Intelligence for Sub-Nanosecond Optical Switching' (<a href="https://ieeexplore.ieee.org/document/9124678?arnumber=9124678">https://ieeexplore.ieee.org/document/9124678?arnumber=9124678</a>). <br><br>All data have been organised into clear folders to accompany the paper, where each folder has been named in the context of the figures presented in the paper. All data are given in .csv format, which can be downloaded by the reader and analysed however they wish.]]></description>
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