Novel Multipath Convolutional Neural Network Based Fabric Defect Detection System-Reference-Cited by-同舟云学术

Novel Multipath Convolutional Neural Network Based Fabric Defect Detection System

Published:2022-12-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Smart Technologies, Communication and Robotics (STCR)
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Author:

V Harreni¹,N Hinduja S¹,S Vishnu Priya¹,S Abirami¹,T Vanathi P²

Affiliation:

1. PSG College of Technology,UG scholar/ECE,Coimbatore,Tamilnadu,India

2. PSG College of Technology,Professor Department of ECE,Coimbatore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009016/10009051/10009190.pdf?arnumber=10009190

Reference10 articles.

1. Study on different types of defects and their causes and remedies in garments industry;ahmed;Journal of Fashion Technology & Textile Engineering,2019

2. Modified DenseNet for Automatic Fabric Defect Detection With Edge Computing for Minimizing Latency

3. Diabetic retinopathy classification based on multipath CNN and machine learning classifiers

4. Experimental, analytical and numerical investigation to prevent the tow buckling defect during fabric forming

5. Study on Different Types of Knitting Faults, Causes and Remedies of Knit Fabrics;rahman;International Journal of Textile Science,2016

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