Cargando…
Texture Image Classification Based on Deep Learning and Wireless Sensor Technology
The main purpose of the object detection process is to determine the category of the scene object and use the display 3D and 3D frame size. At present, in the case of 3D object detection, we can extract more accurate features by learning a large number of data, and this deep learning network has goo...
Autores principales: | Chen, Fengping, Qi, Jianhua, Li, Xinquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155945/ https://www.ncbi.nlm.nih.gov/pubmed/35655490 http://dx.doi.org/10.1155/2022/1761635 |
Ejemplares similares
-
Deep Learning and Entropy-Based Texture Features for Color Image Classification
por: Lhermitte, Emma, et al.
Publicado: (2022) -
A lightweight attention deep learning method for human-vehicle recognition based on wireless sensing technology
por: Song, Mingxin, et al.
Publicado: (2023) -
Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification
por: Liu, Yongkai, et al.
Publicado: (2021) -
Deep Reinforcement Learning for Attacking Wireless Sensor Networks
por: Parras, Juan, et al.
Publicado: (2021) -
Wireless Sensor Technologies and Applications
por: Xia, Feng
Publicado: (2009)