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Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage

Autor
Ziyatdinov, A.; Perera, A.
Tipus d'activitat
Article en revista
Revista
Data in brief
Data de publicació
2015-06-30
Volum
3
Pàgina inicial
126
Pàgina final
130
DOI
https://doi.org/10.1016/j.dib.2015.02.011 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/85241 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S2352340915000220 Obrir en finestra nova
Resum
The design of the signal and data processing algorithms requires a validation stage and some data relevant for a validation procedure. While the practice to share public data sets and make use of them is a recent and still on-going activity in the community, the synthetic benchmarks presented here are an option for the researches, who need data for testing and comparing the algorithms under development. The collection of synthetic benchmark data sets were generated for classification, segmentati...
Citació
Ziyatdinov, A., Perera, A. Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage. "Data in Brief", 30 Juny 2015, vol. 3, p. 126-130.
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants