Generating realistic synthetic meteoroid orbits
Sign Up to like & getrecommendations! Published in 2017 at "Icarus"
DOI: 10.1016/j.icarus.2017.06.020
Abstract: Abstract Context. Generating a synthetic dataset of meteoroid orbits is a crucial step in analysing the probabilities of random grouping of meteoroid orbits in automated meteor shower surveys. Recent works have shown the importance of… read more here.
Keywords: generating realistic; meteoroid orbits; realistic synthetic; synthetic meteoroid ... See more keywords
Unsupervised Real-World Image Super-Resolution via Dual Synthetic-to-Realistic and Realistic-to-Synthetic Translations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3175411
Abstract: Due to the challenges of collecting paired low-resolution (LR) and high-resolution (HR) images in real-world scenarios, most existing deep convolutional neural network (CNN)-based single image super-resolution (SR) models are trained with artificially synthesized LR-HR image… read more here.
Keywords: synthetic realistic; resolution; realistic synthetic; real world ... See more keywords
SISSRM: Sequentially Induced Signed Subnetwork Reconstruction Model for Generating Realistic Synthetic Signed Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3392613
Abstract: Privacy is one of the major concerns in the availability of large-scale real-world network datasets for various applications. Therefore, we require network models that can generate realistic synthetic networks of a very large scale that… read more here.
Keywords: realistic synthetic; reconstruction model; model; network ... See more keywords