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    <title>7th EAI International Conference on Robotic Sensor Networks</title>
    <subTitle>EAI ROSENET 2023</subTitle>
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    <namePart>Gül, Ömer Melih.</namePart>
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    <namePart>Fiorini, Paolo.</namePart>
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    <namePart>Kadry, Seifedine Nimer.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 208 p. 73 illus., 59 illus. in color. online resource.</extent>
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  <abstract>This book presents the proceedings of the 7th EAI International Conference on Robotics and Networks 2023 (EAI ROSENET 2023). The conference explores the integration of networks, communications, and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of communications and networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the communications and networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference takes place at Bahcesehir University, Istanbul, Türkiye on 15-16 December 2023. Presents the proceedings from 7th EAI International Conference on Robotic Sensor Networks (ROSENET 2023); Features papers on topics ranging from robotics in medicine to robotics in rescue and surveillance; Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals. .</abstract>
  <tableOfContents>Introduction -- An Intelligent Learning System based on Robotino Mobile Robot Platform -- A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning -- Milk temperature control system of calf feeding robot based on fuzzy PID -- Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man’s Buff problem -- Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach -- A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition -- Real Time Surgical Instrument Object Detection using Yolov7 -- A Lightweight Blockchain Framework for Visual Homing and Navigation Robots -- Conclusion.</tableOfContents>
  <note type="statement of responsibility">edited by Ömer Melih Gül, Paolo Fiorini, Seifedine Nimer Kadry.</note>
  <subject authority="lcsh">
    <topic>Telecommunication</topic>
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  <subject authority="lcsh">
    <topic>Control engineering</topic>
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  <subject authority="lcsh">
    <topic>Robotics</topic>
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  <subject authority="lcsh">
    <topic>Automation</topic>
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    <topic>Computational intelligence</topic>
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  <subject>
    <topic>Communications Engineering, Networks</topic>
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  <subject>
    <topic>Control, Robotics, Automation</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <classification authority="lcc">TK5101-5105.9</classification>
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      <title>EAI/Springer Innovations in Communication and Computing</title>
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  <identifier type="isbn">9783031644955</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-64495-5</identifier>
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