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Open access 2026

Highly-Constrained Unsupervised Hyperspectral Band Selection via Quality-aware Latent Feature Clustering

Unsupervised band selection (UBS), which reduces dimensionality without relying on costly labeled data, is pivotal for hyperspectral image (HSI) analysis. However, highly-constrained UBS scenarios, defined by selecting fewer than ten bands, present significant challenges in achieving promising performance for downstrea...

Ping Ma, Jin-Chang Ren, Rong-Jun Chen et al. · 0 citations
#edge computing Open access Sep 2026

Service-Level Agreement-Aware Scheduling Algorithm Based on Heterogeneous Computing Collaboration in Smart Video Surveillance Scenarios

Experimental results show that the proposed algorithm coordinates heterogeneous computing resources between the cloud center and the edge and exhibits earlier empirical reward stabilization and lower task-violation rates than the compared learning-based baselines under the tested workload conditions.

Jian Song, Jing Wang, Jun-Fei Yan et al. · 0 citations

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