gibbonNetR: an R Package for the Use of Convolutional Neural Networks for Automated Detection of Acoustic Data

R Submitted 28 May 2024Published 07 June 2025
Review

Editor: @faroit (all papers)
Reviewers: @Desjonqu (all reviews), @steffilazerte (all reviews)

Authors

Dena Jane Clink (0000-0003-0363-5581), Abdul Hamid Ahmad (0000-0001-9658-8600)

Citation

Clink et al., (2025). gibbonNetR: an R Package for the Use of Convolutional Neural Networks for Automated Detection of Acoustic Data. Journal of Open Source Software, 10(110), 7250, https://doi.org/10.21105/joss.07250

@article{Clink2025, doi = {10.21105/joss.07250}, url = {https://doi.org/10.21105/joss.07250}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {110}, pages = {7250}, author = {Dena Jane Clink and Abdul Hamid Ahmad}, title = {gibbonNetR: an R Package for the Use of Convolutional Neural Networks for Automated Detection of Acoustic Data}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

deep learning passive acoustic monitoring gibbon automated detection

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066