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  <titleInfo>
    <title>Proceedings of Eighth International Congress on Information and Communication Technology</title>
    <subTitle>ICICT 2023, London, Volume 3</subTitle>
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    <namePart>Yang, Xin-She.</namePart>
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    <namePart>Sherratt, R. Simon.</namePart>
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    <namePart>Dey, Nilanjan.</namePart>
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    <namePart>Joshi, Amit.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XXXII, 1096 p. 437 illus., 340 illus. in color. online resource.</extent>
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  <abstract>This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.</abstract>
  <tableOfContents>EMG Controlled Modular Prosthetic Hand – Design and Prototyping -- Application of Super Resolution for optical character recognition in low quality images -- Emotion recognition using electroencephalogram signals and a 1-D local binary pattern for an ML-classiﬁcation-based approach -- User Clustering in mm wave Quality of Service Based Non Orthogonal Multiple Access (QNOMA) for Vehicular Network -- A Study of the Potential of Online Learning of Kasetsart University Faculty Members -- Anomalous-Aggressive Event Detection Techniques -- Robot-based auto-labeling system for 6D pose estimation -- Rehabilitation of the Lower Limb Motor Skills for Patients Using Cable-Driven Robot -- Knowledge Management in Integrated Media for Public Relation on Innovative Thai Cuisine to Global Market Project -- A new architecture for Diabetes prediction using data mining, deep learning and ensemble algorithms -- A New Method and Case Study for Predicting Tutoring Performance in Students at the Universidad Politécnica Salesiana using Data Science and Support Vector Machines -- A Study on the Pressure Sensor for Estimating the Load Point in a Prosthetic Socket -- Modification of Dijkstra’s Algorithm for Best Alternative Routes -- Comprehensive Performance Evaluation of Mobile Networks in Macao based on Field Test Data -- A security-based e-government adoption framework: An outcome of a systematic literature review -- Content Moderator Startle Response: A Qualitative Study -- Disparity of Abstract Color Representations in Convolutional Networks -- Sentiment Analysis About the Popular Soccer Player Mbappe on Social Media and Newspapers -- Sentiments Analysis on the Implementation of Online Learning in the Philippines using Visual Analytics -- Real-Time Multi-Class Classification of Water Quality Using MLP and Ensemble Learning -- BellChat: An Inclusive Web Application for Messaging -- Hydration Automation (HA): Smart Tank -- Improving The Resume Verification Process Of Financial Professionals Using Blockchain Smart Contracts.</tableOfContents>
  <note type="statement of responsibility">edited by Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi.</note>
  <subject authority="lcsh">
    <topic>Telecommunication</topic>
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  <subject authority="lcsh">
    <topic>Technology</topic>
    <topic>Sociological aspects</topic>
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  <subject authority="lcsh">
    <topic>Information technology</topic>
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  <subject authority="lcsh">
    <topic>Internet of things</topic>
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  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject>
    <topic>Communications Engineering, Networks</topic>
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  <subject>
    <topic>Information and Communication Technologies (ICT)</topic>
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  <subject>
    <topic>Internet of Things</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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      <title>Lecture Notes in Networks and Systems, 695</title>
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  <identifier type="isbn">9789819930432</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-3043-2</identifier>
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