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A Semi-Supervised Transfer Learning with Grid Segmentation for Outdoor Localization over LoRaWans †
During the training phase of the supervised learning, it is not feasible to collect all the datasets of labelled data in an outdoor environment for the localization problem. The semi-supervised transfer learning is consequently used to pre-train a small number of labelled data from the source domain...
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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/PMC8070012/ https://ncbi.nlm.nih.gov/pubmed/33918695 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21082640 |
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