A Machine Learning-based Approach for Vehicular Tracking in Low Power Wide Area Networks

Marco Bertolusso, Michele Spanu, Giovanni Pettorru, Matteo Anedda, Mauro Fadda, Roberto Girau, Massimo Farina, Daniele D. Giusto. A Machine Learning-based Approach for Vehicular Tracking in Low Power Wide Area Networks. In IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2022, Bilbao, Spain, June 15-17, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{BertolussoSPAFG22,
  title = {A Machine Learning-based Approach for Vehicular Tracking in Low Power Wide Area Networks},
  author = {Marco Bertolusso and Michele Spanu and Giovanni Pettorru and Matteo Anedda and Mauro Fadda and Roberto Girau and Massimo Farina and Daniele D. Giusto},
  year = {2022},
  doi = {10.1109/BMSB55706.2022.9828755},
  url = {https://doi.org/10.1109/BMSB55706.2022.9828755},
  researchr = {https://researchr.org/publication/BertolussoSPAFG22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2022, Bilbao, Spain, June 15-17, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6901-2},
}