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Found 3 papers, 1 papers with code
Deep learning-based topological optimization for representing a user-specified design area
In this study, we propose a new deep learning model to generate an optimized structure for a given design domain and other boundary conditions without iteration.
Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases
Although many machine learning techniques have been presented for assisting ophthalmologists in diagnosing retinal OCT images, there is no technique that can diagnose independently without relying on an ophthalmologist, i. e., there is no technique that does not overlook any anomaly, including unlearned diseases.
Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution
This result suggests that stiffness information of structure can be extracted and analyzed for structural design by analyzing the density distribution using CNN like an image.
