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H. Li

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Open access Aug 2026

Combining DPM with Shape Semantics-Driven 3D Model Reconstruction to Improve Parametric Design Efficiency for Intelligent Products

The rapid iteration of intelligent products places increasingly higher demands on parametric modeling, making it difficult for traditional modeling approaches to meet strict industrial design requirements for complex mechanical parts and editable functional structures. To address this, this paper proposes a 3D model re...

H. Li · 0 citations
Open access Aug 2026

Electricity Spot Market Risk Identification and Multi-Dimensional Early Warning Based on Improved Transformer

Reliable risk identification and early warning in electricity spot markets are increasingly important for intelligent power communication infrastructures and electromagnetic information systems that support real-time monitoring and dispatching. To address the challenges posed by high-frequency, heterogeneous, and stron...

Y. Ma, X. Pang, H. Li et al. · 0 citations
Open access Aug 2026

The Evaluation of the Effects of Regulatory Variables on the Gravity of Coal Mine Disasters: A Machine Learning and SHAP Analysis Based Method

Accurate assessment of accident severity and regulatory deficiencies is essential for improving safety management and intelligent decision-making in complex industrial systems. This study proposes an interpretable machine learning framework to evaluate the influence of regulatory variables on coal mine accident severit...

M.-X. Li, X.-H. Zhou, H.-Y. Li · 0 citations

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