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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3250664
Abstract: In mechanical anomaly detection, algorithms with higher accuracy, such as those based on artificial neural networks, are frequently constructed as black boxes, resulting in opaque interpretability in architecture and low credibility in results. This article…
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Keywords:
aau net;
network;
mechanical anomaly;
detection ... See more keywords
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Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3100500
Abstract: Massive access is a critical design challenge of Internet of Things (IoT) networks. In this paper, we consider the grant-free uplink transmission of an IoT network with a multiple-antenna base station (BS) and a large…
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Keywords:
algorithm unrolling;
deep neural;
problem;
network ... See more keywords