Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part III 2024 ed. [Pehme köide]

.- 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.

.- Students 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.