Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Orestis Tsinalis"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
In large-scale machine-to-machine sensor networks, the applications such as urban air pollution monitoring require information management over widely distributed sensors under restricted power, processing, storage, and communication resources. The co
Externí odkaz:
https://doaj.org/article/f23da53c776d40a188299e58763d881f
Publikováno v:
IEEE Cloud Computing. 1:42-50
The drive toward smart cities alongside the increasing adoption of personal sensors is leading to big sensor data, which is so large and complex that traditional methods for utilizing it are inadequate. Although systems exist for storing and managing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe6e951a4ca023f3452baf5a24fa641
https://doi.org/10.1109/mcc.2014.33
https://doi.org/10.1109/mcc.2014.33
Publikováno v:
Annals of Biomedical Engineering
We developed a machine learning methodology for automatic sleep stage scoring. Our time-frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific signal features as described in the American Academy of Sleep Medicine m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::108e0a939832a27a421a1bdce2b1a658
http://hdl.handle.net/10044/1/27673
http://hdl.handle.net/10044/1/27673
Autor:
Yang Li, Orestis Tsinalis, Chun-Hsiang Lee, Shulin Yan, Moustafa Ghanem, Yike Guo, David Birch, Chao Wu, Dilshan Silva
Publikováno v:
BigData Conference
The drive toward smart cities alongside the rising adoption of personal sensors is leading to a torrent of sensor data. While systems exist for storing and managing sensor data, the real value of such data is the insight which can be generated from i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c350fe8353e7635a8093ba9a3e19b8ba
https://doi.org/10.1109/bigdata.2013.6691559
https://doi.org/10.1109/bigdata.2013.6691559
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
In large-scale machine-to-machine sensor networks, the applications such as urban air pollution monitoring require information management over widely distributed sensors under restricted power, processing, storage, and communication resources. The co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce73a16ad29ed0ee183ec64afd24580
https://doi.org/10.1155/2013/251374
https://doi.org/10.1155/2013/251374