A Multimodal Sensor-Based Self-Supervised Learning Framework for Low-Noise System State Prediction and Anomaly Detection.

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Title: A Multimodal Sensor-Based Self-Supervised Learning Framework for Low-Noise System State Prediction and Anomaly Detection.
Authors: Guo, Kexin1 (AUTHOR), Wang, Jingwen1,2 (AUTHOR), Lin, Jiayu1,2 (AUTHOR), Chen, Ningjing2 (AUTHOR), Chen, Hengyuan2 (AUTHOR), Zhou, Zilang1 (AUTHOR), Li, Manzhou1 (AUTHOR) limanzhou_cau@163.com
Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3851. 30p.
Database: Academic Search Ultimate
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  Data: A Multimodal Sensor-Based Self-Supervised Learning Framework for Low-Noise System State Prediction and Anomaly Detection.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194914250
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        Value: 10.3390/s26123851
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              Text: Jun2026
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