{"product_id":"9783031640698","title":"Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III (Communications in Computer and Information Science 2092) (2024. 2024. xviii, 396 S. XX, 419","description":"\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eThe 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: \u003c\/p\u003e\u003cp\u003ePart I - Advanced Network Technologies.\u003c\/p\u003e\u003cp\u003ePart II - Advanced Network Technologies; Intelligent Computing.\u003c\/p\u003e\u003cp\u003ePart III- IV - Intelligent Computing.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Intelligent Computing.\u003c\/strong\u003e\n.- Implementation and Performance Evaluation of Deep Learning Models for Disease Classification and Severity Estimation of Coffee Leaves.\n.- Flow-Optimized Channel-Attentive Excitation DenseNet Algorithm for Multi-Disease Classification and Severity Estimation.\n.- Image Captioning using Deep Learning.\n.- Visualizing Optimal Classifiers in EEG-Based Sleepy Driver Prediction.\n.- Revolutionizing Glaucoma Diagnosis with a Hybrid AI Algorithm.\n.- Unravelling Crop Yield Secrets Through Identification of Significant Factors Using Machine Learning.\n.- Comparative Analysis of Short-Term Load Forecasting Using K-Nearest Neighbor, Random Forest, and Gradient Boost Models.\n.- Heuristics for Influence Maximization with Tiered Influence and Activation thresholds.\n.- Sentiment Analysis and Offensive Language Identification In Code-Mixed Tamil-English Languages Using Transformer-based Models.\n.- Performance evaluation of Deep Transfer Learning and Semantic Segmentation models for crop and weed detection in the Sesame Production System.\n.- Machine Learning Analysis on Hate Speech against Asians.\n.- Deep Transfer Learning for Enhanced Blackgram Disease Detection: A Transfer Learning - Driven Approach.\n.- Sustainable Natural Gas Price Forecasting with DEEPAR.\n.- Whale Optimized Deep Learning Technique for Accurate Skin Cancer Identification.\n.- Multi-Domain Feature Extraction Methods for Classification of Human Emotions from Electroencephalography (EEG) Signals.\n.- Enhancing Speech Quality using Spectral Subtraction and Time-Frequency Filtering.\n.- Analyzing the performance of BERT for the sentiment classification task in Bengali text.\n.- Student's Performance Prediction using Decision Tree Regressor.\n.- A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion.\n.- Time Series Analytic Models for Forecasting Vehicular Registration Volume in the Indian Context.\n.- Impact of Clinical Features on Disease Diagnosis using Knowledge Graph Embedding and Machine Learning: a Detailed Analysis.\n.- Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection.\n.- Drinking Addiction Predictive Model Using Body  Characteristics Machine Learning Approach.\n.- An Ensemble of Machine Learning Models Utilizing Deep Convolutional Features for Medical Image Classification.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":48857329533163,"sku":"00000_00000_00000_00000","price":145.56,"currency_code":"SGD","in_stock":false}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783031640698","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}