Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
<p>With the rising number of machine learning and deep learning applications, the demand for implementation of those algorithms near the sensors has grown rapidly to allow efficient edge computing. Especially in sensor-based tasks like predictive maintenance and smart condition monitoring, the...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
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| Series: | Journal of Sensors and Sensor Systems |
| Online Access: | https://jsss.copernicus.org/articles/14/169/2025/jsss-14-169-2025.pdf |
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