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CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks
Data compression is a useful method to reduce the communication energy consumption in wireless sensor networks (WSNs). Most existing neural network compression methods focus on improving the compression and reconstruction accuracy (i.e., increasing parameters and layers), ignoring the computation co...
Gorde:
| Argitaratua izan da: | Sensors (Basel) |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6721250/ https://ncbi.nlm.nih.gov/pubmed/31394773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163445 |
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