Cellulosic Fabric-Reinforced Cementitious Matrix (FRCM): Ligaments, Treatments, and Employment

Kohan, Laís; Coelho, L. de Souza; Baruque-Ramos, Júlia; Savastano, Holmer

doi:10.1007/s42824-022-00052-8

Cited by 4 publications

(1 citation statement)

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“…At present, China has become the largest colored cotton production base in the world. However, Kohan et al believe that the research on all aspects of Chinese colored cotton is still in the preliminary stage and a lot of work needs to be done [7]. Saad et al said that since the optical fiber terminal plays an important role in the optical fiber communication system, the quality requirements for the optical fiber terminal are becoming more and more stringent, which requires a better method to detect the optical fiber terminal [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Digital Image Processing Technology in Textile and Garment Field

Shih

2022

Security and Communication Networks

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In order to study the shortcomings of traditional manual inspection of clothing, improve the quality of clothing. A method of applying digital image processing technology in the field of textile and clothing is proposed. This method combines computer digital image technology to propose an image processing and measurement process technology based on the Labview platform. Through the effective combination of neural networks and support vector machines, methods such as deep learning can better realize the recognition and classification of clothing images. According to a random interview survey of 80 people, 78 people think that the quality of clothing is the most important, and 2 people think that beauty is the most important. The experimental results show that the digital book processing technology platform can further improve the accuracy of clothing detection.

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Section: Literature Reviewmentioning

confidence: 99%