首页|Data from North Carolina State University Provide New Insights into Artificial I ntelligence (A review of deep learning and artificial intelligence in dyeing, pr inting and finishing)
Data from North Carolina State University Provide New Insights into Artificial I ntelligence (A review of deep learning and artificial intelligence in dyeing, pr inting and finishing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from North Carol ina State University by NewsRx correspondents, research stated, "This review foc uses on the transformative applications of deep learning and artificial intellig ence in textile dyeing, printing, and finishing." The news reporters obtained a quote from the research from North Carolina State University: "In textile dyeing, the topics span color prediction, color-based cl assification, dyeing recipe prediction, dyeing pattern recognition, and the nuan ced domain of color fabric defect detection. In textile printing, applications o f artificial intelligence and machine learning center around pattern detection i n printed fabrics, the generation of novel patterns, and the critical task of de tecting defects in printed textiles. In textile finishing the prediction of fabr ic thermosetting parameters is discussed. Artificial neural networks, diverse co nvolutional neural network variations like AlexNet, traditional machine learning approaches including support vector regression, principal component analysis, X GBoost, and generative artificial intelligence such as generative adversarial ne tworks, as well as genetic algorithms all find application in this multifaceted exploration. At its core, the interest to use these methodologies is because of the need to minimize repetitive and time-consuming manual tasks, curtail prototy ping costs, and promote process automation. The review unravels a plethora of in novative architectures and frameworks, each tailored to address specific challen ges."
North Carolina State UniversityArtific ial IntelligenceCyborgsEmerging TechnologiesMachine Learning
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