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Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy
Trend prediction based on sensor data in a multi-sensor system is an important topic. As the number of sensors increases, we can measure and store more and more data. However, the increase in data has not effectively improved prediction performance. This paper focuses on this problem and presents a...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916859/ https://www.ncbi.nlm.nih.gov/pubmed/33670098 http://dx.doi.org/10.3390/e23020219 |