<?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>Emerging Technology for Sustainable Development</title>
    <subTitle>Select Proceedings of EGTET 2022</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Deka, Jatindra Kumar.</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>Robi, P. S.</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>Sharma, Bobby.</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, 571 p. 234 illus., 193 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>This volume comprises the select peer-reviewed proceedings of the 2nd International Conference on Emerging Trends in Engineering and Technology (EGTET 2022). It provides a comprehensive and broad spectrum picture of the state-of-the-art research and development in the area of speech processing, remote sensing, blockchain technology, the Internet of Things, power systems economics, AC/DC microgrids, smart energy metering and power grids, etc. This volume will provide a valuable resource for those in academia and industry.</abstract>
  <tableOfContents>Design of Modern Technology Lighting System for Automobiles -- A review of materials suitable for tissue-engineered bone scaffolds -- Conceptualization, design and development of a pedal propelled vehicle to collect and dispose residential solid waste -- Experimental Study on Low Cost and Light Weight Building Materials Developed using Waste Materials -- A Study on Square and Rectangular Hollow Steel Section Subjected to Torsion -- Utilization of Reclaimed Asphalt Pavement (RAP) and use of plastic waste in road construction: Literature review -- Utilizing Plastic Waste in Construction Materials: A review -- Analysis of seismic forces for earthquake resistant constructions -- Analysis and ANN Modelling of Water Quality of Ramsar Site of Assam -- Determination of optimum K value for K-means Segmentation of Diseased Tea Leaf images -- Recent Advancement and Challenges of Deep Learning for Breast Mass Classification from Mammogram Images -- A Machine Learning Approach to Winter Load Forecasting in the State of Meghalaya in India -- Improved detection of large-sized pedestrians using non-linear scale space and combination of HOG and dense LDB features -- Cyber Threat Detection using Machine Learning -- Medicinal Plant Classification using Neural Networks -- Blockchain based Marketplace for Farmers using PERUN Payment System -- Sentiment Analysis on Covid19 Tweets: Machine Learning Approach -- Utilising Greenhouse Technology Towards Sustainable Agriculture Using IoT “TechFarm” -- Modeling and Simulation of successful signal transmission without information loss in axon -- Proximity Coupled Planar MIMO Antenna for LTE-46/LTE-U bands of Sub-6 GHz -- Determination of crop suitability based on soil pH using Image processing and ANN.</tableOfContents>
  <note type="statement of responsibility">edited by Jatindra Kumar Deka, P. S. Robi, Bobby Sharma.</note>
  <subject authority="lcsh">
    <topic>Computer engineering</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer networks </topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Computer Engineering and Networks</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <classification authority="lcc">TK7885-7895</classification>
  <classification authority="lcc">TK5105.5-5105.9</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, 1061</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9789819943623</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-4362-3</identifier>
  <location>
    <url>https://doi.org/10.1007/978-981-99-4362-3</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">231031</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030111721.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-981-99-4362-3</recordIdentifier>
  </recordInfo>
</mods>
