Selected publications and ongoing research in AI, computer vision, and scientific discovery
A study on improving the detection of exoplanets using CNNs with ResNet18 and data augmentation techniques to reduce overfitting and increase accuracy using space telescope data.
Developing a binary classification system for diabetic retinopathy detection using pre-trained CNN architectures, achieving improved medical imaging precision and early diagnosis capability.
A smart data-driven approach for predicting industrial growth and optimizing land utilization and energy management in economic zones using ML forecasting models.