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  <titleInfo>
    <title>Proceedings of International Joint Conference on Advances in Computational Intelligence</title>
    <subTitle>IJCACI 2023</subTitle>
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    <namePart>Uddin, Mohammad Shorif.</namePart>
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    <namePart>Bansal, Jagdish Chand.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XIV, 813 p. 305 illus., 242 illus. in color. online resource.</extent>
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  <abstract>This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.</abstract>
  <tableOfContents>Conversational Swarm Intelligence (CSI) enhances groupwise deliberation -- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images -- Minimization of Structural Systems Eccentricity by means of the Imperialist Competitive Algorithm -- Towards Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach -- Data Hiding System based on variations in Image Interplation algorithms -- Fault assessment and early performance prediction of PV module using machine learning -- Speeding classification by a deep learning audio analysis system optimized by the reptile search algorithm -- Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis -- A Comprehensive Review on Prediction of Blood Glucose Level in Type-1 Diabetic Using Machine Learning Techniques -- Effect of Phosphorylation on the Circadian Clock of Drosophila by Analytical and Graph Theory Matrix Approach -- Exploiting Deep Learning Techniques for Autistic Face Recognition -- A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies and Case Studies -- Potato Leaf Disease Detection and Classification Using VGG16 -- Assessing Student Engagement Levels Using Speech Emotion Recognition -- K-means Clustering and Support Vector Machine for Assamese Dialect Identification -- Emotion recognition in speech using Convolutional Neural Networks (CNNs) -- Single Value Neutrosophic Virtual Machine Resources Optimization Route Selection in Multimodal Transport Networks Incorporating Disruption -- A Smart Surveillance System to detect modern gun using YOLOv5 algorithm: A Deep Learning Approach -- A Comparative Analysis of models for Dark Web Data Classification.</tableOfContents>
  <note type="statement of responsibility">edited by Mohammad Shorif Uddin, 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>Machine learning</topic>
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  <subject authority="lcsh">
    <topic>Natural language processing (Computer science)</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Data processing</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Machine Learning</topic>
  </subject>
  <subject>
    <topic>Natural Language Processing (NLP)</topic>
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  <subject>
    <topic>Data Science</topic>
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      <title>Algorithms for Intelligent Systems</title>
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  <identifier type="isbn">9789819701803</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-0180-3</identifier>
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