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    <title>Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3</title>
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    <namePart>Arai, Kohei.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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  <language>
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    <extent>XI, 715 p. 301 illus., 260 illus. in color. online resource.</extent>
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  <abstract>This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK. This premier annual event highlights groundbreaking research in artificial intelligence, computer vision, data science, computing, ambient intelligence, and related fields. With 476 submissions, FTC 2024 gathers visionary minds to explore innovative solutions to today's most pressing challenges. The 173 selected papers represent cutting-edge advancements that foster vital conversations and future collaborations in the realm of information technologies. The authors extend their deepest gratitude to all contributors, reviewers, and participants for making FTC 2024 an unparalleled success. The authors hope this volume inspires and informs its readers, encouraging continued exploration and innovation in future technologies.</abstract>
  <note type="statement of responsibility">edited by Kohei Arai.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
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  <subject authority="lcsh">
    <topic>Control engineering</topic>
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  <subject authority="lcsh">
    <topic>Robotics</topic>
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  <subject authority="lcsh">
    <topic>Automation</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Control, Robotics, Automation</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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      <title>Lecture Notes in Networks and Systems, 1156</title>
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  <identifier type="isbn">9783031731259</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-73125-9</identifier>
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