Browsing by Subject "Data generation"
Now showing items 1-2 of 2
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A methodology for synthetic household water consumption data generation
(2018)In the smart cities context, real-time knowledge of residential water consumption has become increasingly important, especially given the fast evolution of sensors, ICT and the production of big, high-resolution data coming ... -
Towards the substitution of real with artificially generated endoscopic images for CNN training
(2019)The generalization performance in deep learning is linked to the size and the variations of the samples available during training. This is apparent in the domain of computer-aided gastrointestinal tract abnormality detection, ...