传感器迁移学习如何影响准确性?
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Papers (10) 论文(10 篇) | Insights 洞见 |
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25 Oct 2023 2023 年 10 月 25 日 | Sensor transfer learning, specifically SensorTalk3, enhances accuracy by achieving a low Mean Absolute Percentage Error (MAPE) of 1.738% compared to the original sensor's 7.792% error, showcasing significant improvement. |
Transfer learning in the sensor enhances accuracy, reducing temperature prediction error to 0.14°C and humidity to 0.42%, surpassing traditional deep learning methods in multi-wavelength laser absorption spectroscopy. | |
15 Dec 2023 2023 年 12 月 15 日 | ChemVise proposes a novel transfer learning approach using molecular semantics for accurate chemical sensor signal classification, enhancing accuracy without exhaustive real-world experiments. |
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09 Nov 2022 09 年 11 月 2022 日 | - |
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08 Aug 2022 1 Citations 引文 | - |
08 Aug 2022 | - |
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