MS267B Deep and Machine Learning Methodology in the Context of Application to Computational Mechanics II
Main Organizer:
Prof.
Yoshitaka Wada
(
Kindai University
, Japan
)
Scheduled presentations:
-
Detection and Diagnosis of Anomalies in Civil Engineering Structures Using Machine Learning Techniques
-
Multiscale Finite Element Method Based on Deep Learning for Arbitrary Composite Material Structure
-
3D Field Prediction on Parameterized Geometry via Sparse Convolution-Based Model
-
Development of a Surrogate Model for Predicting Deformation of Offshore Wind Turbine Blades
-
Optimizing AI-generated motion pictograms through AI-based evaluation and regeneration
-
Recurrent Neural Network Architectures for Predicting Thermal Conditions and Microstructure Evolution in Laser-Based Additive Manufacturing
