Advanced Network Technologies and Intelligent Computing

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.

Inhalt

.- 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.