Cargando…
A Novel Efficient Convolutional Neural Algorithm for Multi-Category Aliasing Hardware Recognition
When performing robotic automatic sorting and assembly operations of multi-category hardware, there are some problems with the existing convolutional neural network visual recognition algorithms, such as large computing power consumption, low recognition efficiency, and a high rate of missed detecti...
Autores principales: | Zhang, Yunzhi, Liang, Jiancheng, Lu, Qinghua, Luo, Lufeng, Zhu, Wenbo, Wang, Quan, Lin, Junmeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317917/ https://www.ncbi.nlm.nih.gov/pubmed/35891034 http://dx.doi.org/10.3390/s22145358 |
Ejemplares similares
-
Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse
por: Tran, Nghi C., et al.
Publicado: (2022) -
Contributions to multidimensional linear systems for video and signal processing applications: new results and algorithms for LSI filter-based object recognition, anti-aliasing, hardware-implementation and stability
por: Schauland, Sam
Publicado: (2010) -
A Convolutional Neural Network for Compound Micro-Expression Recognition
por: Zhao, Yue, et al.
Publicado: (2019) -
Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI
por: Manor, Ran, et al.
Publicado: (2015) -
Cross-Correlation Algorithm-Based Optimization of Aliasing Signals for Inductive Debris Sensors
por: Wang, Xingjian, et al.
Publicado: (2020)