GNSS-RTK time series denoising based on deep learning and mode decomposition techniques for offshore platform
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My research is in structural health monitoring from a Geomatics Engineering perspective. Specifically, I work on integrating GNSS-RTK, accelerometers, and environmental sensors—temperature, humidity, and wind—to monitor structures like bridges, offshore platforms, and wind turbines. I investigate how environmental variability affects sensor performance and structural response, and I use LSTM networks to handle data continuity issues. The goal is to make these monitoring systems more robust for real-world conditions.
Short description of the paper, what problem it addresses, and why it matters.
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Short description of the paper, what problem it addresses, and why it matters.
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If you'd like to connect about structural health monitoring, geomatics-based sensing, or collaborative research, feel free to reach out.