Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning. Gamazo-Real, J. C., Fernández, R. T., & Armas, A. M. CoRR, 2024.
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning. [link]Link  Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning. [link]Paper  bibtex   
@article{journals/corr/abs-2403-08810,
  added-at = {2024-04-05T00:00:00.000+0200},
  author = {Gamazo-Real, José Carlos and Fernández, Raúl Torres and Armas, Adrián Murillo},
  biburl = {https://www.bibsonomy.org/bibtex/2b9a674758a7c73e1facf5e92e936ba42/dblp},
  ee = {https://doi.org/10.48550/arXiv.2403.08810},
  interhash = {ff750d50630c0410f0e49fc9a55803ce},
  intrahash = {b9a674758a7c73e1facf5e92e936ba42},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2024-04-08T22:21:49.000+0200},
  title = {Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2403.html#abs-2403-08810},
  volume = {abs/2403.08810},
  year = 2024
}

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