05454nam a22005775i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153050002000169072001500189072002300204072001400227245030000241250001800541264006900559300006700628336002600695337002600721338003600747347002400783490007500807505240300882520060103285650002603886650002503912650002603937650001803963650004003981650001904021650002404040650003904064650002604103650001604129650003704145650003504182700007604217700008004293700008504373700008704458700007804545710003404623773002604657776003604683776003604719830007504755856004604830978-3-031-64070-4DE-He21320251030112843.0cr nn 008mamaa240808s2024    sz |    s    |||| 0|eng d  a97830316407047 a10.1007/978-3-031-64070-42doi 4aTK7885-7895 4aTK5105.5-5105.9 7aUK2bicssc 7aCOM0670002bisacsh 7aUK2thema10aAdvanced Network Technologies and Intelligent Computingh[electronic resource] :bThird International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III /cedited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXI, 398 p. 195 illus., 164 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aCommunications in Computer and Information Science,x1865-0937 ;v20920 a -- 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.  aThe 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. 0aComputer engineering. 0aComputer networks . 0aSoftware engineering. 0aCryptography. 0aData encryption (Computer science). 0aCoding theory. 0aInformation theory.14aComputer Engineering and Networks.24aSoftware Engineering.24aCryptology.24aComputer Communication Networks.24aCoding and Information Theory.1 aVerma, Anshul.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aVerma, Pradeepika.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aPattanaik, Kiran Kumar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aDhurandher, Sanjay Kumar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aWoungang, Isaac.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303164069808iPrinted edition:z9783031640711 0aCommunications in Computer and Information Science,x1865-0937 ;v209240uhttps://doi.org/10.1007/978-3-031-64070-4