Abstract: During trajectory tracking, the nonlinear coupling between a vehicle's lateral and longitudinal dynamics poses greater challenges to control accuracy and real-time performance. This paper ...

Abstract: It is hard to monitor human activities in various contexts like security surveillance, healthcare, and human-computer interaction. Human Activity Recognition is the process of predicting ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

In this paper, we propose a novel deep learning based technique for automatically identifying inappropriate query suggestions. We propose a novel deep learning architecture called “Convolutional ...