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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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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2021
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| Schlagworte: | |
| Online Zugang: | 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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