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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Nian Zhang

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Conference Open access Oct 2026

Hyperspectral Image Classification Using PCA-Based Deep 2D Convolutional Neural Networks with Spatial Regularization

Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data and the limited availability of labeled samples. In this work, we propose an efficient and robust classification framework that combines principal component analysis (PCA) for spectral dimensionality reduction...

Matheus Leonel de Andrade, S. Rouamba, Paul Cotae et al. · 0 citations
Conference Open access Oct 2026

Minority-Aware Semi-Supervised Learning for Class-Imbalanced Hyperspectral Image Classification with Limited Labels

Hyperspectral image (HSI) classification under limited labeled data is particularly challenging due to severe class imbalance, which often causes learning algorithms to favor majority classes and results in poor minority-class recognition. To address these challenges, this paper proposes a Minority Preserving Graph-Bas...

Nian Zhang, Tewelde Semere, S. Rouamba · 0 citations
Conference Oct 2026

Transformer-Based Hyperspectral Image Classification with Spectral Embedding and Permutation-Invariant Neighborhood-Set Attention

Direct adoption of generic vision-transformer tokenization is often inefficient for hyperspectral image (HSI) classification because the data are high-dimensional, spectrally redundant, spatially structured, and label-scarce. This paper presents a multi-benchmark empirical study built on two ideas: linear spectral embe...

Ilkim Aydar, Paul Cotae, Nian Zhang · 0 citations
Conference Open access Oct 2026

Spatial-Spectral Patch-Based CNN for Hyperspectral Image Classification

Hyperspectral image classification is critical for remote sensing applications, but it remains challenging due to the high dimensionality and complex spectral–spatial correlations of hyperspectral data. In this paper, we propose a patch-based convolutional neural network (CNN) that effectively leverages both spatial an...

Nian Zhang, S. Rouamba · 0 citations

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