Acoustic individual identification in a species of field cricket using deep learning.
- DOI
- 10.1121/10.0044100
- Published
- 2026 Jun 1
- Container
- The Journal of the Acoustical Society of America
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1121/10.0044100,
title = {Acoustic individual identification in a species of field cricket using deep learning.},
author = {Kabuga E and Nandi D and Burrell S and Dlamini G and Balakrishnan R and Bah B and Durbach I},
year = {2026},
journal = {The Journal of the Acoustical Society of America},
doi = {10.1121/10.0044100},
url = {https://doi.org/10.1121/10.0044100}
}RIS
TY - JOUR TI - Acoustic individual identification in a species of field cricket using deep learning. AU - Kabuga E AU - Nandi D AU - Burrell S AU - Dlamini G AU - Balakrishnan R AU - Bah B AU - Durbach I PY - 2026 JO - The Journal of the Acoustical Society of America DO - 10.1121/10.0044100 UR - https://doi.org/10.1121/10.0044100 ER -
APA
E, K., D, N., S, B., G, D., R, B., B, B., & I, D. (2026). Acoustic individual identification in a species of field cricket using deep learning.. The Journal of the Acoustical Society of America. https://doi.org/10.1121/10.0044100
Source records
- pubmed · retrieved 2026-09-26T03:07:59.536Z