<?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>Bio-inspired data-driven distributed energy in robotics and enabling technologies</title>
  </titleInfo>
  <name type="personal">
    <namePart>Kumar, Abhishek</namePart>
    <namePart type="date">1989-</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Saini, Hemant Kumar</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dubey, Ashutosh Kumar</namePart>
    <namePart type="termsOfAddress">(Computer scientist)</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>García Díaz, Vicente</namePart>
    <namePart type="date">1981-</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">flu</placeTerm>
    </place>
    <dateIssued encoding="marc">2025</dateIssued>
    <copyrightDate encoding="marc">2025</copyrightDate>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource (x, 310 pages) : illustrations.</extent>
  </physicalDescription>
  <abstract>"This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog cloud assisted medical energy ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering"--</abstract>
  <tableOfContents>Data driven aircrafts transforming the manufacturing world with new idea of bio-inspired interactions / Hemant Kumar Saini, Abhishek Kumar -- Smart data-driven sensing : new opportunities to combat environmental problems / Bhavani K, Gajendra N -- IoT-based smart car parking using particle swarm optimization techniques / Dipra Mitra, Shika Gupta, Gurpreet Singh Panesar, Ganesh Gupta.</tableOfContents>
  <note type="statement of responsibility">edited by Abhishek Kumar, Hemant Kumar Saini, Ashutosh Kumar Dubey, and Vicente García-Díaz.</note>
  <subject authority="lcsh">
    <topic>Biomimicry</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Automatic control</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Medical technology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Robotics</topic>
    <topic>Industrial applications</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Social systems</topic>
  </subject>
  <classification authority="lcc">TA164.2</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Intelligent data-driven systems and artificial intelligence</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781003530077</identifier>
  <identifier type="isbn">1003530079</identifier>
  <identifier type="isbn">9781040147061</identifier>
  <identifier type="isbn">1040147062</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="uri">https://www.taylorfrancis.com/books/9781003530077</identifier>
  <identifier type="uri">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</identifier>
  <location>
    <url displayLabel="Taylor &amp; Francis">https://www.taylorfrancis.com/books/9781003530077</url>
  </location>
  <location>
    <url displayLabel="OCLC metadata license agreement">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">OCoLC-P</recordContentSource>
    <recordCreationDate encoding="marc">241023</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030122259.0</recordChangeDate>
    <recordIdentifier source="FlBoTFG">9781003530077</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
