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Št. zadetkov: 2
Izvirni znanstveni članek
Oznake: background noise;optical images;machine learning;
Context: Astronomical imaging aims to maximize signal capture while minimizing noise. It is difficult and expensive to enhance the signal-to-noise ratio directly on detectors, which has led to extensive research into advanced post-processing techniques. Aims: Removing background noise from images is ...
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Objavljeni znanstveni prispevek na konferenci
Oznake: foundation models;machine learning;gamma rays;
The increasing volume of gamma-ray data demands new analysis approaches that can handle large-scale datasets while providing robustness for source detection. We present a Deep Learning (DL) based pipeline for detection, localization, and characterization of gamma-ray sources. We extend our AutoSo ...
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Št. zadetkov: 2
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