Author

S. Rahman

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#artificial intelligence Open access Sep 2026

AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification

An abundance-guided self-attention network (AGSA-Net), an abundance-guided self-attention network that explicitly integrates spectral unmixing priors into the classification process, and demonstrates the benefit of incorporating abundance-guided contextual modeling, particularly in heterogeneous urban scenes.

Nafisa Anjum, S. Borno, Ananna Saha et al. · IEEE Transactions on Geoscie... · 0 citations

Jul 2026

CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting

CARNet is proposed, a Cycle-Conditioned Core Aggregation and Redistribution framework that integrates global recurrent cycle information into efficient core based interaction modeling via Multihead Core Aggregation.

Awsaf Tausif Adib, Md. Shahria Sarker Shuvo, Md. Estehaar Ahmed Emon et al. · arXiv.org · 0 citations

Preprint Aug 2026

Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMs

This work proposes a training-free hallucination mitigation framework for dynamic, per-instance suppression at test time, and proposes a dynamically combined projection that selectively suppresses the most probable hallucination directions while preserving image-grounded semantics.

Ali Cheraghian, Hamidreza Dastmalchi, Hamed Barzamini et al. · 0 citations