An Efficient Compressive Sensing Method for Connected Health Applications

Mohammed Al Disi, Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Chris Kontronis, George Dimitrakopoulos, Guillaume Alinier. An Efficient Compressive Sensing Method for Connected Health Applications. In Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors, Intelligent Systems and Applications - Proceedings of the 2018 Intelligent Systems Conference, IntelliSys 2018, London, UK, September 6-7, 2018, Volume 2. Volume 869 of Advances in Intelligent Systems and Computing, pages 365-373, Springer, 2018. [doi]

@inproceedings{DisiBDABKDA18,
  title = {An Efficient Compressive Sensing Method for Connected Health Applications},
  author = {Mohammed Al Disi and Hamza Baali and Hamza Djelouat and Abbes Amira and Faycal Bensaali and Chris Kontronis and George Dimitrakopoulos and Guillaume Alinier},
  year = {2018},
  doi = {10.1007/978-3-030-01057-7_29},
  url = {https://doi.org/10.1007/978-3-030-01057-7_29},
  researchr = {https://researchr.org/publication/DisiBDABKDA18},
  cites = {0},
  citedby = {0},
  pages = {365-373},
  booktitle = {Intelligent Systems and Applications - Proceedings of the 2018 Intelligent Systems Conference, IntelliSys 2018, London, UK, September 6-7, 2018, Volume 2},
  editor = {Kohei Arai and Supriya Kapoor and Rahul Bhatia},
  volume = {869},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-01057-7},
}