Cargando…
Student Behavior Recognition From Heterogeneous View Perception in Class Based on 3-D Multiscale Residual Dense Network for the Analysis of Case Teaching
The study of student behavior analysis in class plays a key role in teaching and educational reforms that can help the university to find an effective way to improve students' learning efficiency and innovation ability. It is also one of the effective ways to cultivate innovative talents. The t...
Autores principales: | Liu, Hui, Liu, Yang, Zhang, Ran, Wu, Xia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358832/ https://www.ncbi.nlm.nih.gov/pubmed/34393749 http://dx.doi.org/10.3389/fnbot.2021.675827 |
Ejemplares similares
-
A New Residual Dense Network for Dance Action Recognition From Heterogeneous View Perception
por: Yang, Xue, et al.
Publicado: (2021) -
Multiscale Aggregate Networks with Dense Connections for Crowd Counting
por: Li, Pengfei, et al.
Publicado: (2021) -
R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation
por: Mubashar, Mehreen, et al.
Publicado: (2022) -
A residual dense network assisted sparse view reconstruction for breast computed tomography
por: Fu, Zhiyang, et al.
Publicado: (2020) -
Three-class brain tumor classification using deep dense inception residual network
por: Kokkalla, Srinath, et al.
Publicado: (2021)