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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 III</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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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XXI, 398 p. 195 illus., 164 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.  -- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves.  -- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation.  -- Image Captioning using Deep Learning.  -- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction.  -- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm.  -- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning.  -- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models.  -- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds.  -- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models.  -- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System.  -- Machine Learning Analysis on Hate Speech against Asians.  -- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach.  -- Sustainable Natural Gas Price Forecasting with DEEPAR.  -- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification.  -- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals.  -- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering.  -- Analyzing the performance of BERT for the sentiment classification task in Bengali text.  -- Student’s Performance Prediction using Decision Tree Regressor.  -- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion.  -- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context.  -- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis.  -- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection.  -- Drinking Addiction Predictive Model Using Body Characteristics Machine Learning Approach.  -- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification.</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">
    <topic>Cryptography</topic>
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  <subject authority="lcsh">
    <topic>Coding theory</topic>
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    <topic>Software Engineering</topic>
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  <subject>
    <topic>Cryptology</topic>
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  <subject>
    <topic>Computer Communication Networks</topic>
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  <subject>
    <topic>Coding and Information Theory</topic>
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