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Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data
ArticleAbstract: More frequent and thorough inspection of sewer pipes has the potential to save billions in utilitiesPalabras claves:Autoencoders and latent space, Data distribution, Self-supervised, semi-supervised, Sparse data, Supervised, WATERAutores:Casas M., Cecilio Angulo Bahón, Moeslund T.B., Philipsen M.P., Rius F.P., Tur J.M.M.Fuentes:scopusConvolutional neural network training with dynamic epoch ordering
Conference ObjectAbstract: The paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) whPalabras claves:convolutional neural networks, Data management, deep learning, Deep residual networks, Supervised learningAutores:Casas M., Cecilio Angulo Bahón, Mirats Tur J.M., Plana Rius F.Fuentes:scopus