Nayab Asim

An explainable vision transformer approach for automated neurological disorder classification from brain MRI scans

Abstract Diagnosing Alzheimer’s Disease (AD), Multiple Sclerosis (MS), and brain tumors early enough to matter still depends heavily on brain MRI, and brain MRI still depends on radiologists who are in short supply almost everywhere. Convolutional neural networks have made real p...

Short-term solar irradiance forecasting using deep learning models and an agent-based decision support framework for localized energy management

Accurate forecasting of solar irradiance is critical to supporting the stability of the power grid and allowing for efficient use of renewable energy resources. As solar generation is highly dependent upon weather; therefore, accurate forecasting of short-term solar totals, or Gl...