首页|University of Beira Interior Researcher Adds New Study Findings to Research in M achine Learning (Toward Automated Fabric Defect Detection: A Survey of Recent Co mputer Vision Approaches)
University of Beira Interior Researcher Adds New Study Findings to Research in M achine Learning (Toward Automated Fabric Defect Detection: A Survey of Recent Co mputer Vision Approaches)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting from the University of Beira Interior by NewsRx journalists, research stated, "Defect detection is a crucial part of the pipeline in many industries." Funders for this research include Nextgenerationeu Program; Fct/mctes. The news journalists obtained a quote from the research from University of Beira Interior: "In the textile industry, it is especially important, as it will affe ct the quality and price of the final product. However, it is mostly performed b y human agents, who have been reported to have poor performance, along with requ iring a costly and time-consuming training process. As such, methods to automate the process have been increasingly explored throughout the last 20 years. While there are many traditional approaches to this problem, with the advent of deep learning, machine learning-based approaches now constitute the majority of all p ossible approaches. Other articles have explored traditional approaches and mach ine learning approaches in a more general way, detailing their evolution over ti me."
University of Beira InteriorComputersCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
