A textual and visual features-jointly driven hybrid intelligent system for digital physical education teaching quality evaluation
The utilization of intelligent computing in digital teaching quality evaluation has been a practical demand in smart cities. Currently, related research works can be categorized into two types: textual data-based approaches and visual data-based approaches. Due to the gap between their different for...
Main Authors: | Boyi Zeng, Jun Zhao, Shantian Wen |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-06-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023606?viewType=HTML |
Similar Items
-
A Rumor Detection Method Based on Adaptive Fusion of Statistical Features and Textual Features
by: Ziyan Zhang, et al.
Published: (2022-08-01) -
Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation
by: Qianqian Wu, et al.
Published: (2020-01-01) -
A visual transformer-based smart textual extraction method for financial invoices
by: Tao Wang, et al.
Published: (2023-10-01) -
Optimized outdoor parking system for smart cities using advanced saliency detection method and hybrid features extraction model
by: Neeru Mago, et al.
Published: (2022-12-01) -
Comparing textual genres in Spanish: the case of the tourism domain
by: Iria da Cunha, et al.
Published: (2021-12-01)