Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

This paper investigates the ability of deep neural networks (DNNs) to predict a specific room impulse response (RIR) between two given room locations. We use three end-to-end deep learning (DL) models ...

Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this challenge but ...