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    <title>Inventive Communication and Computational Technologies</title>
    <subTitle>Proceedings of ICICCT 2024</subTitle>
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    <namePart>Ranganathan, G.</namePart>
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    <namePart>Papakostas, George A.</namePart>
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    <namePart>Shi, Yong.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XXXIII, 974 p. 428 illus., 356 illus. in color. online resource.</extent>
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  <abstract>This book gathers selected papers presented at the 8th International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), held on June 14–15, 2024, at Sree Sakthi Engineering College, Coimbatore, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.</abstract>
  <tableOfContents>Enhancing Attack Detection on IoT Devices using a Hybrid Deep Learning Model -- Analysis of Routing Protocols in VANETs with Different Pause Times -- Performance Insights of Attention-free Language Models in Sentiment Analysis: A Case Study for E-commerce Platforms in Vietnam -- An AutoML Approach Integrated with Live Weather Data in Rain Forecasting System (RFS) -- Decentralized Identity Management using Self-Sovereign Identity Approach through Blockchain -- Stock Price Prediction Model using Enhanced LSTM and Arima -- Prefetching Mechanism for Distributed Cache Architecture: Trends and Challenges -- A Concise Review of Crop Disease Identification: Integrating Conventional and Deep Learning Feature Extraction for Effective Diagnosis and Mitigation Strategies -- Fortifying Healthcare Data Security in Cloud Environments -- Review on the Enhancement of 5G Communications using LEO Satellites -- Design and Implementation of a Python-Based GUI Tool for Eye-Hand Coordination Analysis -- Detection of Strabismus using Convolutional Neural Network based Classification Models -- Video Anomaly Detection using Liquid Neural Networks -- A Blockchain Solution to Counterfeiting in the Semiconductor Supply Chain.</tableOfContents>
  <note type="statement of responsibility">edited by G. Ranganathan, George A. Papakostas, Yong Shi.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
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    <topic>Cloud Computing</topic>
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  <subject>
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  <subject>
    <topic>Cloud Computing</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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      <title>Lecture Notes in Networks and Systems, 23</title>
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  <identifier type="isbn">9789819777105</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-7710-5</identifier>
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