Cargando…
Adaptive representations of sound for automatic insect recognition
Insect population numbers and biodiversity have been rapidly declining with time, and monitoring these trends has become increasingly important for conservation measures to be effectively implemented. But monitoring methods are often invasive, time and resource intense, and prone to various biases....
Autores principales: | Faiß, Marius, Stowell, Dan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578591/ https://www.ncbi.nlm.nih.gov/pubmed/37792895 http://dx.doi.org/10.1371/journal.pcbi.1011541 |
Ejemplares similares
-
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
por: Stowell, Dan, et al.
Publicado: (2014) -
Automatic Target Recognition of SAR Images Using Collaborative Representation
por: Hu, Jinge
Publicado: (2022) -
Classifying Ingestive Behavior of Dairy Cows via Automatic Sound Recognition
por: Li, Guoming, et al.
Publicado: (2021) -
Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds
por: Ribeiro, Alison Pereira, et al.
Publicado: (2021) -
Rethinking the representation of sound
por: Bola, Łukasz
Publicado: (2022)