Spatial Deep Learning for Wireless Scheduling
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2019.2904352
Abstract: The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task. The traditional method involves first estimating all the interfering channel strengths and then optimizing the scheduling… read more here.
Keywords: learning wireless; spatial deep; deep learning; network ... See more keywords
Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3144192
Abstract: Hyperspectral anomaly detection (HAD) aims to distinguish anomalies from background-by-background modeling. Deep learning has been applied to HAD and achieves promising detection results. However, there exist several issues that need to be addressed: 1) unrealistic… read more here.
Keywords: hyperspectral anomaly; spectral spatial; detection; spatial features ... See more keywords