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AI

Peer-reviewed optical-fibre sensor estimates underwater flow with a ResNet-LSTM model

2026-08-18

Peer-reviewed optical-fibre sensor estimates underwater flow with a ResNet-LSTM model
Photo: ell brown (CC BY-SA 2.0)

In a journal article dated 16 August 2026, Haiqing Li, Boxue Sun, Xiaonan Bian, Yujia Wang and Xianping Fu describe a biomimetic U-shaped plastic optical-fibre sensor with a cilium-like cantilever and a hybrid ResNet-LSTM model. Performance figures are author-reported.

The authors report a mean velocity error of 0.0105 m/s and a direction error of 1.51 degrees.

The sensor could help underwater navigation and inspection, but field robustness, fouling, calibration drift, transfer to turbulent conditions and independent reproduction remain unresolved.

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