Articles | Volume 7, issue 2
https://doi.org/10.5194/jsss-7-489-2018
https://doi.org/10.5194/jsss-7-489-2018
Regular research article
 | 
20 Sep 2018
Regular research article |  | 20 Sep 2018

DAV3E – a MATLAB toolbox for multivariate sensor data evaluation

Manuel Bastuck, Tobias Baur, and Andreas Schütze

Viewed

Total article views: 4,481 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,630 785 66 4,481 292 78 69
  • HTML: 3,630
  • PDF: 785
  • XML: 66
  • Total: 4,481
  • Supplement: 292
  • BibTeX: 78
  • EndNote: 69
Views and downloads (calculated since 20 Sep 2018)
Cumulative views and downloads (calculated since 20 Sep 2018)

Viewed (geographical distribution)

Total article views: 3,683 (including HTML, PDF, and XML) Thereof 3,574 with geography defined and 109 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
Predictions about systems too complex for physical modeling can be made nowadays with data-based models. Our software DAV³E is an easy way to extract relevant features from cyclic raw data, a process often neglected in other software packages, based on mathematical methods, incomplete physical models, or human intuition. Its graphical user interface further provides methods to fuse data from many sensors, to teach a model the prediction of new data, and to check the model’s performance.