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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Yiping Yuan

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Open access Jul 2026

TMDANN-A: Boundary-aware discriminative alignment and condition-guided multi-source at-tention for vibration-based bearing fault diagnosis under variable operating conditions

TMDANN-A, a multi-source domain adaptation framework for vibration-based bearing fault diagnosis, combines adversarial domain alignment, boundary-aware discriminative learning, and condition-guided source weighting to improve domain invariance and class separability is proposed.

Changming Zhang, Yiping Yuan, Bo Chen et al. · 0 citations

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