Author

Yongsheng Chen

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#artificial intelligence Review Sep 2025

SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture

SPADE (Soil moisture Pattern and Anomaly DEtection), which is the first LLM-based framework specifically developed for soil moisture time-series analysis, is proposed, which is the first LLM-based framework specifically developed for soil moisture time-series analysis.

Yeonju Lee, Rui-Qi Chen, Joseph Oboamah et al. · arXiv.org · 0 citations

#machine learning Jul 2026

PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics

Experiments on real deformable-object manipulation sequences show that PhysCoRe outperforms state-of-the-art baselines in prediction accuracy, and that its predicted confidence forms a reliable distribution across the object's geometry, providing a natural signal for future confidence-guided exploration.

Haocheng Yin, Shuohan Tao, Yongsheng Chen et al. · arXiv.org · 0 citations