Towards Real-World RUL Prediction for Aircraft Compressors Under Variable Conditions with Physics-Guided Domain Adaptation
arXiv 2607.24809•47935500a43fceb93925c93626b128918c2ebcf27390fcaa2e359760480cb5ad
6GISACLEO-satellitesRF-fingerprintingautomatic-modulation-classificationbackscatter-IoTcell-free-MIMOcovert-communicationsmachine-learningpredictive-maintenanceresearch-paperssemiconductor-manufacturingsignal-processingultrasound-imagingwireless-communicationswireless-fronthaul
Paper metadata
- arXiv ID
- 2607.24809
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 47935500a43fceb93925c93626b128918c2ebcf27390fcaa2e359760480cb5ad
- Enrichment time
- 2026-07-29T08:51:34Z
- AI-assisted enrichment
- Yes
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