.- 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.

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