Abstract: Data augmentation is an effective way to improve the performance of deep networks. Unfortunately, current methods are mostly developed for high-level vision tasks (e.g., classification) and ...

This repository includes the work done within the course TRA105 - GPU-accelerated Computational Methods using Python and CUDA, held at Chalmers University. The main contributions are given by Stefano ...

Abstract: Images are among the most common and popular representations of data. Digital images are used for professional and personal use ranging from official documents to social media. Thus, any ...

Abstract: This paper proposes an innovative fusion of encryption and compression techniques that optimizes data handling and security. The approach employs a layered non-encoding ...

According to Brommer, it is no longer necessary to know which sensor is being used. Whether GPS, magnetometer/compass or speedometer, the data can simply be passed on to the algorithm and the sensor ...