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    <title>Proceedings of 4th International Conference on Frontiers in Computing and Systems</title>
    <subTitle>COMSYS 2023, Volume 1</subTitle>
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    <namePart>Kole, Dipak Kumar.</namePart>
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    <namePart>Roy Chowdhury, Shubhajit.</namePart>
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    <namePart>Basu, Subhadip.</namePart>
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    <namePart>Plewczynski, Dariusz.</namePart>
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    <namePart>Bhattacharjee, Debotosh.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XXIV, 735 p. 332 illus., 260 illus. in color. online resource.</extent>
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  <abstract>This book gathers high-quality research papers presented at the 4th International Conference on Frontiers in Computing and Systems (COMSYS 2023) held at Indian Institute of Technology Mandi, Himachal Pradesh, India, during 16–17 October 2023. The book is divided into two volumes, and it covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning and data science; devices, circuits, and systems; computational biology, biomedical informatics, and network medicine; communication networks, cloud computing, and IoT; image, video, and signal processing; and security and privacy.</abstract>
  <tableOfContents>Chapter 1: AI Based Criminal Detection and Tracking System for Public Safety and Security -- Chapter 2: A Multilayer Framework for Data Driven Student Modeling -- Chapter 3: Machine Learning-Based Early Epilepsy Diagnosis with Secure EEG Data Sharing Using Blockchain -- Chapter 4: Application of Different Decision Tree Classifier for Diabetes Prediction: A Machine Learning Approach -- Chapter 5: Exploring Electric Vehicle Adoption Research through Bibliometric Analysis and Visualization -- Chapter 6: Optimizing Solar Power Distribution in Microgrids to Reduce Energy Waste -- Chapter 7: GPA: Uni-directional GRU-based Traffic Prediction Model for Minimizing Air Pollution -- Chapter 8: A Real-time framework for automatic sarcasm detection using proposed Tensor-DNN Algorithm -- Chapter 9: Unveiling the art of music generation with LSTM -- Chapter 10: Few shot learning with fine-tuned language model for suicidal text detection. etc.</tableOfContents>
  <note type="statement of responsibility">edited by Dipak Kumar Kole, Shubhajit Roy Chowdhury, Subhadip Basu, Dariusz Plewczynski, Debotosh Bhattacharjee.</note>
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    <topic>Telecommunication</topic>
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    <topic>Artificial intelligence</topic>
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  <identifier type="isbn">9789819726110</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-2611-0</identifier>
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