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Open access Sep 2026

Global–local isolation-based evidence fusion for unsupervised gearbox fault detection

Gearbox fault detection under practical operating conditions is challenged by scarce fault labels, heterogeneous sensor measurements, and condition-dependent anomaly patterns. This paper proposes a healthy-only unsupervised framework that combines Isolation Forest (iForest), Isolation-based Nearest Neighbor Ensemble (i...

Zhuo Zhang, Hao-Ran Du, Li-Ming Liu et al. · 0 citations
Open access Jul 2026

Diagnostic performance of an artificial intelligence algorithm for detecting pneumoperitoneum on abdominal CT scans

This study aims to evaluate the diagnostic performance of an artificial intelligence (AI) algorithm for detection, segmentation, and volumetric quantification of pneumoperitoneum on abdominal CT scans. We developed and validated a deep learning-based model for automated pneumoperitoneum detection on CT. Multi-center CT...

Yu-wan Hu, Zhi-Gang Sun, Haoyu Li et al. · 0 citations

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