- 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.