Our focus is on creating innovative AI-driven solutions that address a broad range of significant and impactful challenges.
This section showcases a curated selection of student-led research projects conducted under the academic supervision of Dr. Happy N. Monday.IABiLSTM-NET Deep Learning Model for Predicting Solar Cell Degradation using Thermal Images
Read MoreClassification of Diabetic Retinopathy using Residual Learning with a Custom Balanced Softmax Loss
Read MoreHybrid MobileNet-BiLSTM Model with Multi-Head Attention Mechanism for Solar Radiation Prediction
Read MoreMulti-Class Diabetic Retinopathy Classification using Self-Attention Residual Networks
Read MoreResidual-Based Dual Attention Ensemble Model for Diabetic Retinopathy Classification
Read MoreCNN-BiLSTM-Attention Solar Energy Forecasting using Cloud Motion Vectors
Read MoreLSTM-Based Multi-Head Attention Lightweight CNN Model for Pneumothorax Classification using Chest X-Ray Images
Read MoreRadiance Sky Image-Based Cloud Shadow Mapping for Solar Energy Forecasting
Read MoreBiLSTM-Based Inception Multi-Head Attention Network for Predicting Solar Cell Degradation using Thermal imaging
Read MorePredicting the Impact of Climate Change on Solar Power Production using CNN-LSTM Models
Read MoreSuper-Resolution with RCAN for Improved Malaria Cell Classification: A Performance Evaluation
Read MoreVehicle Logo Classification using Deep Learning for Traffic Monitoring Systems
Read MoreDeep Learning Based Heart Disease Classification Using Multimodal ECG Signal and Images
Read MoreMigrating Ensemble Model with Attention for Advanced Fruit Classification
Read MoreDeep Learning-Based Access Control System Using Face Recognition Technology
Read MoreEnhanced Diabetic Retinopathy Classification through Depthwise Separable CNN
Read MoreEnhanced Depthwise Inception Model of Residual Learning for Rice Leaf Classification
Read MoreFaster R-CNN: Deep Learning-based Mask Wearing Detection in Public Spaces
Read MoreA Separable Convolutional Neural Network Approach for Plant Disease Classification
Read MoreA convolutional Neural Network Approach for the Recognition of Traffic Signs
Read MoreApplication of Fine-tuned Pre-trained Deep Learning Network for Traffic Sign Recognition
Read MoreConvolutional Neural Network-based Technique for Flower Classification
Read MoreApplication of Convolutional Neural Network for Image Recognition using CIFAR-10 Dataset
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