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Movement Path Data Generation from Wi-Fi Fingerprints for Recurrent Neural Networks
The recurrent neural network (RNN) model, which is a deep-learning network that can memorize past information, is used in this paper to memorize continuous movements in indoor positioning to reduce positioning error. To use an RNN model in Wi-Fi-fingerprint based indoor positioning, data set must be...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8073539/ https://ncbi.nlm.nih.gov/pubmed/33923847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21082823 |
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