GENERATION OF INDIVIDUALIZED SYNTHETIC DATA FOR AUGMENTATION OF THE TYPE 1 DIABETES DATA SETS USING DEEP LEARNING MODELS

In this paper, we present a methodology based on generative adversarial network architecture to generate synthetic data sets with the intention of augmenting Homeopathic continuous glucose monitor data from individual patients.We use these synthetic data with the aim of improving the overall performance of prediction models based on machine learnin

The article aims to expose reflections on the handcraft as a symbolic differential for Hooded Tech Tee fashion products and design.The text presents reflections on the representations of craft production to the consumer market from the study of the categories: commodity fetish and value.Therefore, they were used with theoretical support the concept