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Deep learning approaches to indoor wireless channel estimation for low-power communication
In the rapidly growing development of the Internet of Things (IoT) infrastructure, achieving reliable wireless communication is a challenge.
Cryptanalysis of the SIMON Cypher Using Neo4j
However, the use of a PDDT presents opportunities to identify relationships between differentials utilising knowledge graphs, leading to the identification of efficient paths throughout the PDDT.
RSSI Estimation for Constrained Indoor Wireless Networks using ANN
In the expanding field of the Internet of Things (IoT), wireless channel estimation is a significant challenge.
OutCenTR: A novel semi-supervised framework for predicting exploits of vulnerabilities in high-dimensional datasets
We propose a dimensionality reduction technique, OutCenTR, that enhances the baseline outlier detection models.
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