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    <title>Data Analytics and Learning</title>
    <subTitle>Proceedings of DAL 2022</subTitle>
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    <namePart>Guru, D. S.</namePart>
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    <namePart>Kumar, N. Vinay.</namePart>
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    <namePart>Javed, Mohammed.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XIII, 252 p. 180 illus., 112 illus. in color. online resource.</extent>
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  <abstract>This book presents new theories and working models in the areas of data analytics and learning. The papers included in this book were presented at the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science &amp; Engineering, Alva’s Institute of Engineering and Technology, Moodbidri, Mangalore, Karnataka, India, in association with the Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems.</abstract>
  <tableOfContents>A Two Stage Word Spotting Scheme for Historical Handwritten Devanagari Documents -- 3D Object Detection in Point Cloud using Key Point Detection Network -- IRIS and Face-Based Multimodal Biometric Systems -- A Survey on Detection of Diseases in Plants Using Computer Vision Based Model -- An Approach to Conserve Wildlife Habitat by Predicting Forest Fire using Machine Learning Technique.</tableOfContents>
  <note type="statement of responsibility">edited by D. S. Guru, N. Vinay Kumar, Mohammed Javed.</note>
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    <topic>Computational intelligence</topic>
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    <topic>Data mining</topic>
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    <topic>Signal processing</topic>
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    <topic>Quantitative research</topic>
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    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Data Mining and Knowledge Discovery</topic>
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  <subject>
    <topic>Signal, Speech and Image Processing</topic>
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  <subject>
    <topic>Data Analysis and Big Data</topic>
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      <title>Lecture Notes in Networks and Systems, 779</title>
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  <identifier type="isbn">9789819963461</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-6346-1</identifier>
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