most citedDetecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks

11 citations · 12 across the 3 of their papers we have counts for

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cs.LG2022★ 11 cited

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks

Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos +1

Railway axle maintenance is critical to avoid catastrophic failures. Nowadays, condition monitoring techniques are becoming more prominent in the industry to prevent enormous costs…

cs.LG2022★ 1 cited

Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space

Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo +1

Purpose: Handling heterogeneous and mixed data types has become increasingly critical with the exponential growth in real-world databases. While deep generative models attempt to m…