Leveraging deep learning technology for enhancing printing press quality
<p>Machine learning technique usage for printing quality control is yet to be adopted in most printing press in Nigeria. However, deep learning technology can be used to improve printing quality. This study was designed to leverage deep learning technology for defect-detection in newspaper to...
Saved in:
| Main Authors: | Omotunde Alabi Muyiwa, B.H. Adejumo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academy Publishing Center
2024-10-01
|
| Series: | Advances in Computing and Engineering |
| Subjects: | |
| Online Access: | http://apc.aast.edu/ojs/index.php/ACE/article/view/951 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AdVision: An efficient and effective deep learning based advertisement detector for printed media
by: Faeze Zakaryapour Sayyad, et al.
Published: (2025-09-01) -
Features of the narrative «Covid-19» in the German quality and mass press
by: A. I. Milostivaya
Published: (2023-01-01) -
“Der Emes”: newspaper, printing house, publishing house
by: Sofia E. Khazdan
Published: (2020-12-01) -
An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK
by: Jie Liu, et al.
Published: (2024-11-01) -
A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts
by: Vinita Shukla, et al.
Published: (2025-06-01)