Fabric defect detection systems and methods—A systematic literature review
This paper presents a comprehensive literature review of fabric defect detection methods
First, it briefly explains basic image acquisition system components such as camera and …
First, it briefly explains basic image acquisition system components such as camera and …
Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles
This article provides a comprehensive review of research articles related to the application
of decision support and intelligent systems in the textile and apparel supply chains. Data …
of decision support and intelligent systems in the textile and apparel supply chains. Data …
Underestimated impact of the COVID-19 on carbon emission reduction in developing countries–a novel assessment based on scenario analysis
Existing studies on the impact of the COVID-19 pandemic on carbon emissions are mainly
based on inter-annual change rate of carbon emissions. This study provided a new way to …
based on inter-annual change rate of carbon emissions. This study provided a new way to …
An adaptive image segmentation network for surface defect detection
T Liu, Z He, Z Lin, GZ Cao, W Su… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Surface defect detection plays an essential role in industry, and it is challenging due to the
following problems: 1) the similarity between defect and nondefect texture is very high …
following problems: 1) the similarity between defect and nondefect texture is very high …
[HTML][HTML] Broken stitch detection method for sewing operation using CNN feature map and image-processing techniques
The inspection of sewing defects is an essential step in the quality assurance of garment
manufacturing. Although traditional automated defect detection applications have shown …
manufacturing. Although traditional automated defect detection applications have shown …
A detailed review of artificial intelligence applied in the fashion and apparel industry
The enormous impact of artificial intelligence has been realized in transforming the fashion
and apparel industry in the past decades. However, the research in this domain is scattered …
and apparel industry in the past decades. However, the research in this domain is scattered …
Fabric defect detection based on separate convolutional UNet
L Cheng, J Yi, A Chen, Y Zhang - Multimedia Tools and Applications, 2023 - Springer
Defect detection in the textile industry is an important and demanding task. Traditional
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
An integrated fuzzy MCDM approach for manufacturing process improvement in MSMEs
To deal with dynamic customer preferences and global competition, Medium, Small and
Micro Enterprises (MSMEs) are striving to improve customer satisfaction by enhancing their …
Micro Enterprises (MSMEs) are striving to improve customer satisfaction by enhancing their …
Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping
Landslides are recognized as one of the most important natural hazards in many areas
throughout the world. Producing landslide susceptibility maps have received particular …
throughout the world. Producing landslide susceptibility maps have received particular …
改进BP 神经网络模型及其稳定性分析
张国翊， 胡铮 - 中南大学学报(自然科学版), 2011 - cqvip.com
针对传统BP 算法抗干扰能力差, 学习速率慢且易陷入局部极小点等缺点, 提出一种基于变更传递
函数倾斜度和动态调节不同学习速率的BP 改进算法, 并在此基础上采用Lyapunov …
函数倾斜度和动态调节不同学习速率的BP 改进算法, 并在此基础上采用Lyapunov …