Sexing white 2D footprints using convolutional neural networks.
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such impressions and attempts have been made to do so using single or multi landmark distances, shape analyses and via the de...
Guardado en:
Autores principales: | Marcin Budka, Matthew R Bennett, Sally C Reynolds, Shelby Barefoot, Sarah Reel, Selina Reidy, Jeremy Walker |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b9eeca9929ad4e79b38ee8721fea0841 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
por: Mohsen Ghafoorian, et al.
Publicado: (2017) -
Research on improved convolutional wavelet neural network
por: Jingwei Liu, et al.
Publicado: (2021) -
A convolutional neural-network framework for modelling auditory sensory cells and synapses
por: Fotios Drakopoulos, et al.
Publicado: (2021) -
Recognition of tenogenic differentiation using convolutional neural network
por: Dursun Gözde, et al.
Publicado: (2020) -
Automated spectroscopic modelling with optimised convolutional neural networks
por: Zefang Shen, et al.
Publicado: (2021)