AI-driven fabric classification: real-time implementation for sustainable textile practices in industry 5.0
The growing demand for high-quality textile products requires efficient and intelligent fabric inspection systems. Convectional manual inspection procedure is not only time-consuming but also vulnerable to human errors. The proposed work in this study focused on optimizing a ResNet50 model with PSO...
Saved in:
Main Authors: | Noreen Akram, Rizwan Aslam Butt, Muhammad Amir Qureshi |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | Materials Research Express |
Subjects: | |
Online Access: | https://doi.org/10.1088/2053-1591/add98f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transferring Face Recognition Techniques to Entomology: An ArcFace and ResNet Approach for Improving Dragonfly Classification
by: Zhong Li, et al.
Published: (2025-07-01) -
Image analysis of diabetes pathology: classifying with precision via an upgraded resnet50 framework
by: Caisheng Liao, et al.
Published: (2025-09-01) -
Voter Authentication Using Enhanced ResNet50 for Facial Recognition
by: Aminou Halidou, et al.
Published: (2025-05-01) -
Improving Railway Track Detection With a Mixed-Modality Deep Learning Approach
by: Wichian Ooppakaew, et al.
Published: (2025-01-01) -
Deep learning based MA detection with modified ResNet-50
by: Bindhya PS, et al.
Published: (2024-12-01)