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Toplam kayıt 3, listelenen: 1-3
Regression of large-scale path loss parameters using deep neural networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)
Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ...
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
(Academic Press Inc., 2023)
Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this ...
HMRN: heat map regression network to detect and track small objects in wide-area motion imagery
(Springer Science and Business Media Deutschland GmbH, 2023)
We propose HMRN, a deep heat map regression network to detect and track small moving objects in wide-area motion imagery (WAMI) by modifying a deep multi-object tracker. Object detection in WAMI images is challenging, ...