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    <title>Advanced Network Technologies and Intelligent Computing</title>
    <subTitle>Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV</subTitle>
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    <namePart>Verma, Anshul.</namePart>
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    <namePart>Pattanaik, Kiran Kumar.</namePart>
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    <namePart>Dhurandher, Sanjay Kumar.</namePart>
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    <namePart>Woungang, Isaac.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XXI, 382 p. 193 illus., 153 illus. in color. online resource.</extent>
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  <abstract>The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023. The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on: Part I - Advanced Network Technologies. Part II - Advanced Network Technologies; Intelligent Computing. Part III - IV - Intelligent Computing. .</abstract>
  <tableOfContents> -- Intelligent Computing.  -- Neural Network Approach for Early detection of Sugarcane Diseases.  -- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images.  -- Single-Cell Drug Perturbation Prediction Using Machine Learning.  -- Underwater Image Enhancement using Convolutional Neural Network and the MultiUnet Model.  -- A hybrid time series model for the spatio-temporal analysis of air pollution prediction based on PM2.5.  -- Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks.  -- DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos.  -- Auto-LVEF: A novel method to determine Ejection Fraction from 2D echocardiograms.  -- Phishing Detection in Browser-In-The-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms.  -- Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis.  -- Enhanced Simulation of Collision Events Using Quantum GANs for Jet Images Generation.  -- Class imbalance learning using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel.  -- Material Handling Cost (MHC) Minimization through Facility Layout Design (FLD) Using Genetic Algorithm (GA) combined with the Particle Swarm Optimization (PSO) Method.  -- Detecting ADHD among children using EEG signals.  -- Enhancing Skin Cancer Classification with Ensemble Models.  -- Efficient real-time Sign Detection for Autonomous Vehical in Hazy environment using Deep Learning Models.  -- Kannada Continuous Speech Recognition using Deep Learning.  -- A new type of classification algorithm inspired by the chromatographic separation mechanism.  -- Comparative Analysis of ELM and Sparse Bayesian ELM for Healthcare Diagnosis.  -- Integration of Generative AI and Deep Tabular Data Learning Architecture for Heart Attack Prediction.  -- Navigating the Domain Shift: Object Detection in Indian Road Datasets with Limited Data.  -- An Efficient Hybrid Algorithm with Novel Inver-over Operator and Ant Colony Optimization for Traveling Salesman Problem.  -- Sparsity Analysis of New Biased Pearson Similarity Measure for Memory Based Collaborative Filtering.  -- Advancing Medical Predictive Models with Integrated Approaches.</tableOfContents>
  <note type="statement of responsibility">edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang.</note>
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    <topic>Computer engineering</topic>
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  <subject authority="lcsh">
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  <subject>
    <topic>Cryptology</topic>
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  <subject>
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  <subject>
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