A Strategy for Training Dim and Small Infrared Targets Detection Networks Under Sequential Cloud Background Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3435872
Abstract: The existing open-source infrared dim and small target dataset have limited data capacity and insufficient scenarios. To improve the generalization and robustness of the network, it is usually needed to establish a new dataset for… read more here.
Keywords: training; dim small; target; detection networks ... See more keywords
Asynchronous Decentralized Federated Anomaly Detection for 6G Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3538020
Abstract: The long-term vision for 6G security is to implement AI-assisted frameworks that achieve security automation without disrupting normal usage. Deep learning-based anomaly detection is one of the essential components in the envisioned 6G network security… read more here.
Keywords: detection; anomaly detection; asynchronous decentralized; detection networks ... See more keywords
Stochastic Local Community Detection in Networks
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16010022
Abstract: We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in a network. Instead of giving a deterministic binary local community in the output, our method assigns every vertex… read more here.
Keywords: stochastic local; local community; community; detection networks ... See more keywords