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  <titleInfo>
    <title>Fourth Congress on Intelligent Systems</title>
    <subTitle>CIS 2023, Volume 1</subTitle>
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    <namePart>Kumar, Sandeep.</namePart>
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    <namePart>K., Balachandran.</namePart>
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    <namePart>Kim, Joong Hoon.</namePart>
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    <namePart>Bansal, Jagdish Chand.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XVIII, 476 p. 220 illus., 184 illus. in color. online resource.</extent>
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  <abstract>This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.</abstract>
  <tableOfContents>1. A Simple way to predict Heart Disease using AI -- 2. Automating Dose Prediction in Radiation Treatment Planning using Self-Attention based Dense Generative Adversarial Network -- 3. Track Learning Agent using Multi-Objective Reinforcement Learning -- 4. Performance Assessment of Gaussian Filter Based Image Fusion Algorithm -- 5. A Cognitive Comparative Analysis of Geometric Shape-based Cryptosystem -- 6. A Lesion Feature Engineering Technique based on Gaussian Mixture Model to Detect Cervical Cancer -- 7. Energy Optimization of Electronic Vehicle Using Blockchain Method -- 8. Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals -- 9. Novel Approach for Stock Prediction using Technical Analysis &amp; Sentiment Analysis -- 10. Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces.</tableOfContents>
  <note type="statement of responsibility">edited by Sandeep Kumar, Balachandran K., Joong Hoon Kim, Jagdish Chand Bansal.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Robotics</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Robotics</topic>
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      <title>Lecture Notes in Networks and Systems, 868</title>
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  <identifier type="isbn">9789819990375</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-9037-5</identifier>
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