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07 June 2022 11:00 - 13:00
Add Deep Learning Approaches for Applied Sciences and Engineering IV Minisymposium organized by M. Giselle Fernández-Godino, Charles F. Jekel and Christian Gogu |
Room: Jan Mayen 3 MS117D Chair: M. Giselle Fernandez-Godino |
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Development of the Defects Detection System for Carbon Fiber Reinforced Plastic by Using Infrared Stress Analysis and Machine Learning
Yuta Kojima, Kenta Hirayama, Katsuhiro Endo, Kazuya Hiraide, Mayu Muramatsu and Yoshihisa Harada Health indicator learning for predictive maintenance based on a triplet loss and deep siamese network Etienne Jules, Cecille Mattrand and Jean-Marc Bourinet Understanding Vehicle Reliability and Safety with Multivariate Sensory Data: A Tire Wear Case Study Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger and Rodrigue Decatoire Application of multiresolution analysis and deep learning to obtain failure pressure of corroded pipelines Adriano D. Marques Ferreira, Silvana M. Bastos Afonso and Ramiro B. Willmersdorf Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach Anass Akrim, Christian Gogu, Rob Vingerhoeds and Michel Salaün A framework for neural network based constitutive modelling of inelastic solid materials Eugenio J. Muttio-Zavala, Reem Alhayki, Wulf G. Dettmer and Djordje Peric |
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