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  <titleInfo>
    <title>AI-enhanced visible light communication systems in body area networks</title>
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  <name type="personal">
    <namePart>Shrestha, Shreyash</namePart>
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  <name type="personal">
    <namePart>Attaphongse Taparugssanagorn</namePart>
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  <name type="personal">
    <namePart>Chaklam Silpasuwanchai</namePart>
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  <name type="personal">
    <namePart>Chantri Polprasert</namePart>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>continuing</issuance>
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    <extent>109 leaves : ill.+ 1 online resource</extent>
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  <abstract>Visible Light Communication (VLC) is one of the popular topics of interest and research  in the field of wireless communications. It basically passes information from the trans mitter to the receiver via light sources such as LED, Laser Diode etc. As the world of  wireless technology is increasing with high demand of bandwidth from IoT devices and  smart cities, VLC is the pivotal area which needs to be researched. Likewise, as our  RF spectrum is congested with the excessive use of RF wireless devices, VLC can act  as a new means of communication which can ease out the RF congestion with reliable  and efficient communication. In the era of Artificial Intelligence (AI) the use of such  models can also help enhance the capability of different wireless devices making the  system more robust and flexible in various conditions. As VLC has many advantages  implementing such system might need moreanalysis research as it is very easily affected  by noises and path-loss in the channel (air). This thesis dives deeper into the signal pro cessing of the VLC system on the transmitter side and receiver side with integration  of the hybrid AI model (CNN + Transformer). The signal is passed through modeled  VLCchannel and received with further processing by AI model for channel estimation  equalization and adaptive bit loading. This work can help in further understanding the  working of VLC system and the measures need to make the model more efficient.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Telecommunications</note>
  <note>Thesis (M. Eng.) - Asian Institute of Technology, 2025</note>
  <subject authority="lcsh">
    <topic>Optical communications</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Signal Processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial Intelligence</topic>
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      <title>Thesis ; no. TC-25-03</title>
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