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...

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Detalles Bibliográficos
Autores principales: Jin, Xue-Bo, Yu, Xing-Hong, Su, Ting-Li, Yang, Dan-Ni, Bai, Yu-Ting, Kong, Jian-Lei, Wang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916859/
https://www.ncbi.nlm.nih.gov/pubmed/33670098
http://dx.doi.org/10.3390/e23020219

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