All systems operational
Q1 2026

An improved CNN architecture for exploring the influence of quality-oriented college education to work promotion probability: a case study in Guangdong province, China

Shaoyong Hong · Chengzhang Li · Yiling Yu · Xianchuan Wu · Jincheng Shi · Gang Chen
10.1016/j.eij.2026.100954 408 Views 0 Citations
0
Citations
408
Views
Abstract not available for this publication.
Cite this Article (APA)
Shaoyong, H., Chengzhang, L., Yiling, Y., Xianchuan, W., Jincheng, S., Gang, C. (2026). An improved CNN architecture for exploring the influence of quality-oriented college education to work promotion probability: a case study in Guangdong province, China. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2026.100954
Related Papers
91
cites
1,956
45
cites
2,442
29
cites
949
18
cites
428
Enhancing personalization in IoT-based health monitoring via generative AI and transfer learning
Rupali Atul Mahajan; Rajesh Dey; Mudassir Khan; Mazliham Mohd Su’ud; Muhammad Ma · 2025
15
cites
423
Access
View Full Text via DOI
Published in
ISSN 1110-8665
Quartile Q1
AMS Score 100
Field Computer Science & AI
Publisher Cairo University / Elsevier
Country 🇪🇬 Egypt
View Journal Profile →
Authors
Publication Details
Year 2026
Language English
Added 24 Jul 2026