A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment

Aroosa Hameed, John Violos, Nina Santi, Aris Leivadeas, Nathalie Mitton. A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment. In 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021. pages 29-36, IEEE, 2021. [doi]

@inproceedings{HameedVSLM21,
  title = {A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment},
  author = {Aroosa Hameed and John Violos and Nina Santi and Aris Leivadeas and Nathalie Mitton},
  year = {2021},
  doi = {10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00020},
  url = {https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics53846.2021.00020},
  researchr = {https://researchr.org/publication/HameedVSLM21},
  cites = {0},
  citedby = {0},
  pages = {29-36},
  booktitle = {2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Melbourne, Australia, December 6-8, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1762-4},
}