Computers and electrical engineering have made great strides in steel plate manufacturing.
Defect recognition techniques have also evolved. However, due to the large scale of defects …

For the textile industry, fabric defect detection is an important part of production. In order to
make the automatic fabric defect detection system used in production sites, this article …

Fabric defects can significantly impact the quality of a textile product. By analyzing the types
and frequencies of defects, manufacturers can identify process inefficiencies, equipment …

The share of renewable energy in the electricity market is increasing year by year. It is
necessary to identify damage of solar panels in a timely manner, as solar panels are …

Most textile manufacturing companies in the world heavily rely on manual labor, particularly
in the fabric inspection section, especially for cotton fabric. Establishing smart manufacturing …

Automatic detection of fabric defects is important in textile quality control, particularly in
detecting fabrics with multifarious patterns and colors. This study proposes a fabric defect …

Managing solid waste effectively requires the proper classification of waste. To determine
whether a waste is organic or recyclable, machine learning methods can be used. This study …

Customer satisfaction is a key concern in the service industry, especially in the hospitality
sector, where providing high-quality service is essential. The condition of hotel linens …

Abstract Automated Fabric Defect (FD) detection plays a crucial role in industrial automation
within fabric production. Traditionally, the identification of FDs heavily relies on manual …

This research attempts to explore the potential advantages that a multilingual educational
system in Jordan could derive from the utilization of data-driven language assessment tools …