Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings-Reference-Cited by-同舟云学术

Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings

Published:2021-11-09 Issue: Volume: Page:
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Szenicer Alexandre¹^ORCID,Reinwald Michael²,Moseley Ben³,Nissen‐Meyer Tarje¹^ORCID,Mutinda Muteti Zachary⁴,Oduor Sandy⁴,McDermott‐Roberts Alex²,Baydin Atilim G.³⁵,Mortimer Beth²

Affiliation:

1. Department of Earth Sciences University of Oxford Oxford UK

2. Department of Zoology University of Oxford Oxford UK

3. Department of Computer Science University of Oxford Oxford UK

4. Mpala Research Centre Nanyuki Kenya

5. Department of Engineering Science University of Oxford Oxford UK

Funder

John Fell Fund, University of Oxford

Engineering and Physical Sciences Research Council

Lawrence Livermore National Laboratory

Royal Society

National Geographic Society

Royal Commission for the Exhibition of 1851

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.242

Reference55 articles.

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