Abstract: Anomaly detection (AD) in images is a fundamental computer vision problem and refers to identifying images that deviate significantly from normality. State-of-the-art AD algorithms commonly ...

Abstract: UWB communication is majorly used in short range and high bandwidth applications. Gaussian pulse is base for signaling in UWB in most of the cases. Producing finest of Gaussian pulse with ...

Abstract: Geometric reconstruction of opaque surfaces from images is a longstanding challenge in computer vision, with renewed interest from volumetric view synthesis algorithms using radiance fields.

When business researchers analyse data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional ...

Most of the latest studies on detection models for DoS or DDoS have been applied in general networks. Therefore, no dataset of DoS or DDoS in electric vehicle (EV) charging infrastructure exists. In ...

The aim of this project was to learn the mathematical concepts of Gaussian Processes and implement them later on in real-world problems - in adjusted closing price trend prediction consisted of three ...