The fashion industry is on the verge of an unprecedented change. The implementation of
machine learning, computer vision, and artificial intelligence (AI) in fashion applications is …

This study aims to detect seeded porosity during metal additive manufacturing by employing
convolutional neural networks (CNN). The study demonstrates the application of machine …

With the development of social media and the ubiquity of the Internet, recent years have
witnessed the rapid development of online video advertising among publishers and …

Due to the significant potential values in commercial and social applications, clothing image
recognition has recently become a research hotspot, among which clothing attribute …

This paper proposes a new method that uses Alexnet with ImageNet transfer learning as the
feature extractor and optimized and regularized extreme learning as the classifier. We keep …

In high‐speed train safety inspection, two changed images which are derived from
corresponding parts of the same train and photographed at different times are needed to …

Purpose The big challenge in apparel recommendation system research is not the
exploration of machine learning technologies in fashion, but to really understand clothes …

We describe a solution to tackle a common set of challenges in e-commerce, which arise
from the fact that new products are continually being added to the catalogue. The challenges …

Image recognition and classification is a significant research topic in computational vision
and widely used computer technology. The methods often used in image classification and …

Nowadays, the fashion industry is moving towards fast fashion, offering a large selection of
garment products in a quicker and cheaper manner. To this end, the fashion designers are …