Data analysis of multivariate time series of insect tracking

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA2001VCQ" target="_blank" >RIV/61988987:17610/18:A2001VCQ - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCIS-ISIS.2018.00128" target="_blank" >http://dx.doi.org/10.1109/SCIS-ISIS.2018.00128</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCIS-ISIS.2018.00128" target="_blank" >10.1109/SCIS-ISIS.2018.00128</a>

Result language
angličtina
Original language name
Data analysis of multivariate time series of insect tracking
Original language description
Tracking animals using transmitters is a busy research branch in zoology. In this paper, we study the effect of a temperature and transmitter's weight on a field cricket's movement. We recorded the movement of 180 field crickets with a 4K camera and the captured movies were analyzed by a novel tracking algorithm based on a soft-computing technique called F-transform. The resulting data have a character of multivariate time series and we show how descriptive statistics, linear regression, linguistic fuzzy rules, and random forests might be used for analyzing such data.
Czech name
—
Czech description
—

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS)
ISBN
978-1-5386-2633-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
771-776
Publisher name
IEEE
Place of publication
—
Event location
Toyama
Event date
Dec 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000470750300117

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