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Automated Hyperparameter Optimization for Transfer Learning-Based Machine Fault Diagnosis Using Hybrid Genetic–Simulated Annealing Algorithm

2026-08-04

Abstract excerpt

<title>Abstract</title> <p>Transfer learning (TL) has attracted growing attention for addressing the performance degradation of Machine Failure Diagnosis (MFD) models in real industrial environments, where challenges such as domain shift and data scarcity are common. However, TL performance is sensitive to hyperparameter configurations and source-target alignment. The existing literature lacks automated, objectiv...

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Literature Corpus work: 6e9873b8-f47a-5963-9f78-bce2670bce3a
DOI: 10.21203/rs.3.rs-10511415/v1

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