This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...

This is the journal version of our previous conference work (SimVP: Simpler yet Better Video Prediction, In CVPR 2022). It is worth noticing that the hidden ...

Computers have become an essential part of our everyday lives. Students are using computers daily through their need to attend online classes, play games, searching information, or do their school ...

Abstract: Rapid and precise magnitude estimation is critical for effective earthquake early warning systems and other seismic applications. This study introduces a novel deep learning-based approach ...

Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...

We explore wireless telecommunications systems that connect phones devices and cities. These networks work constantly without being noticed. We explain how signals move through the air and reach their ...