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    <title>International Conference on Signal, Machines, Automation, and Algorithm</title>
    <subTitle>Proceedings of SIGMAA 2023, Volume 1</subTitle>
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    <namePart>Malik, Hasmat.</namePart>
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    <namePart>Mishra, Sukumar.</namePart>
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    <namePart>Sood, Y. R.</namePart>
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    <namePart>García Márquez, Fausto Pedro.</namePart>
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    <namePart>Ustun, Taha Selim.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>LII, 835 p. 410 illus., 334 illus. in color. online resource.</extent>
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  <abstract>This book is a set of best quality peer-reviewed innovative research papers from the International Conference on Signals, Machines, Automation and Algorithm (SIGMAA 2023), held at Shoolini University, India, during 15–16 December 2023 in hybrid mode. This book has originality of work with the innovative ideas regarding artificial intelligence (AI) and its applications in the field of communication, computing, and power technologies.</abstract>
  <tableOfContents>Artificial Intelligence based Smart Battery Management System for Solar Grid Integrated Microgrids -- Understand the Implications of post COVID Corporate Policies on the Power Grid Using DC Optimal Power Flow -- Effect of feature clubbing with classifier in power quality disturbance classification -- Power Blackout in India Securing Grid from Cyber Threats.</tableOfContents>
  <note type="statement of responsibility">edited by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Fausto Pedro García Márquez, Taha Selim Ustun.</note>
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    <topic>Computational intelligence</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Electric power production</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Electrical Power Engineering</topic>
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      <title>Advances in Intelligent Systems and Computing, 1460</title>
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  <identifier type="isbn">9789819763498</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-6349-8</identifier>
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