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The code implementing all the tests mentioned in the study "Analysing the data-driven approach of dynamically estimating positioning accuracy". Preprint: https://arxiv.org/abs/2011.10478 Published paper: https://ieeexplore.ieee.org/document/9500369 More specifically: DAE_tests.ipynb : This notebook includes all tests of the study dataset_creation.ipynb : The data files of the train/validation/test sets, used in this work were produced with the code of this notebook. The resulting file are also available here: 10.5281/zenodo.4117818 haversine_script.py : Assisting script for geographic distance calculations, based on the Haversine project (https://pypi.org/project/haversine/) environment.yml : The .yml file from which the environment used for the tests of this study can be recreated. It includes all requirements, in terms of packages used and their exact versions.
Machine Learning, Error Estimation, Accuracy Estimation, Localization, LPWAN, Fingerprinting, Positioning, Reproducibility, LoRaWAN
Machine Learning, Error Estimation, Accuracy Estimation, Localization, LPWAN, Fingerprinting, Positioning, Reproducibility, LoRaWAN
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