Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm

IF 2.4 3区环境科学与生态学 Q2 BIODIVERSITY CONSERVATION

Animal Biotelemetry Pub Date : 2023-08-31 DOI:10.1186/s40317-023-00343-0

Theresa M. Kirchner, Olivier Devineau, Marianna Chimienti, Daniel P. Thompson, J. Crouse, Alina L. Evans, Barbara Zimmermann, A. Eriksen

引用次数: 0

查看原文本刊更多论文

使用监督分类算法从三轴加速度计数据预测驼鹿的行为

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Animal Biotelemetry Agricultural and Biological Sciences-Animal Science and Zoology

CiteScore

4.20

自引率

11.10%

发文量

审稿时长

10 weeks

期刊介绍： Animal Biotelemetry is an open access peer-reviewed journal that publishes the results of studies utilizing telemetric techniques (including biologgers) to understand physiological, behavioural, and ecological mechanisms in a broad range of environments (e.g. terrestrial, freshwater and marine) and taxa. The journal also welcomes descriptions and validations of newly developed tagging techniques and tracking technologies, as well as methods for analyzing telemetric data.