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Open access Jul 2026

Condition-aware meta-learning for few-shot fault diagnosis across multiple conditions

This paper proposes a knowledge graph-guided condition-aware meta-learning (KG-CAML) method for few-shot fault diagnosis under sensor data variations induced by fluctuating raw materials and changing operational loads. Within a meta-learning framework, KG-CAML integrates data-driven sensor correlations with expert proc...

Ke Wu, Yuan Xu, Yi Luo et al. · 0 citations

LLM-Mestcase: A Test Case Modification Method Based on LLMs and Mutation Testing

An LLM-based, mutation testing-driven approach for test case generation by integrating the semantic understanding of large language models with the precise evaluation mechanism of mutation testing, paving a new path for intelligent test case enhancement.

Pei-Pei Yang, Kun Jia, Tian-Fang Ma et al. · 0 citations

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