<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication</title>
    <subTitle>MARC 2023, Volume 2</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Tomar, Anuradha.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Mishra, Sukumar.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sood, Y. R.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kumar, Pramod.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">si</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XII, 404 p. 150 illus., 108 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28–29 November 2023. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.</abstract>
  <tableOfContents>Detecting Alternaria Solani in Tomatoes: Identification with VGG-19 Deep Learning for Early Detection -- Image Encryption Technique using S-box and Discrete Cosine Transform -- Enhancing Power Quality in Grid-Tied Solar Photovoltaic Systems -- RF-TSVM: Random Forest based Transductive Support Vector Machine for Classification and Prediction of Cancer Patterns -- Resource-Efficient Image Retrieval: A Study of Local Patterns vs. Deep Learning Models -- Machine Translation of Chinese Hindi Simple Sentences using Moses -- Innovative Approaches to Reduce Carbon Footprint and Air Pollution: The Role of AI, ML, Cloud Computing, and IoT -- Investigating Sensor Technology and benefits of Intelligent Transport Systems -- Student Attendance System using QR code Analysis of Brain tumor detection using Machine Learning -- A Review on Multiple Face Detection Techniques and Challenges -- Blockchain-Enabled Secure Identity Verification in Agri-food Supply Chain -- Machine Learning Approach for Diagnosis of Schizophrenia using EEG Signals -- Comparative Analysis Of Web Apis:Restful And Graphql -- Ai-Based Vision Screening Tool For Keratoconus.</tableOfContents>
  <note type="statement of responsibility">edited by Anuradha Tomar, Sukumar Mishra, Y. R. Sood, Pramod Kumar.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Internet of things</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Power electronics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Renewable energy sources</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject>
    <topic>Computational Intelligence</topic>
  </subject>
  <subject>
    <topic>Internet of Things</topic>
  </subject>
  <subject>
    <topic>Power Electronics</topic>
  </subject>
  <subject>
    <topic>Renewable Energy</topic>
  </subject>
  <subject>
    <topic>Machine Learning</topic>
  </subject>
  <classification authority="lcc">Q342</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Lecture Notes in Electrical Engineering, 1232</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9789819752317</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-5231-7</identifier>
  <location>
    <url>https://doi.org/10.1007/978-981-97-5231-7</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">241214</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030114617.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-981-97-5231-7</recordIdentifier>
  </recordInfo>
</mods>
