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#small language model Open access Oct 2026

LUCID: A Training-Free Few-Shot Framework for Leaf Disease Diagnosis via Visual–Knowledge Evidence Fusion

The diagnosis of leaf diseases in medicinal and non-mainstream plants is often hindered by the scarcity of labeled samples, whereas existing deep learning methods generally rely on large-scale labeled datasets. Prototype-based few-shot methods are constrained by the limited number of support samples and fine-grained vi...

Wen Chen, Xin Hu, Bo Ma et al. · 0 citations
Open access Jul 2026

TCM-USP: An Adaptive and Interpretable Framework for Rapid, Traceable Preliminary Quantification of Active Constituents in Traditional Chinese Medicines Using Biomimetic Sensor Data

The results support the feasibility of TCM-USP for traceable preliminary screening across the investigated small-sample and low-dimensional sensor tasks, while pharmacopoeial methods remain necessary for confirmatory quantification.

Xue-Mei Yin, Peng-Fei Song, Xiao Luo et al. · 0 citations

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