Surrogate model-based optimization has been increasingly used in the fie...
Neural network (NN) ensembles can reduce large prediction variance of NN...
Topology optimization (TO) is a method of deriving an optimal design tha...
The impact performance of the wheel during wheel development must be ens...
The braking performance of the brake system is a target performance that...
Studies on manufacturing cost prediction based on deep learning have beg...
Generative design is a design exploration process in which a large numbe...
With the advancement of self-driving technology, the commercialization o...
Research regarding design automation that integrates artificial intellig...
Despite the approaching commercialization of robo-taxis, various anxiety...
Visual design is critical to product success, and the subject of intensi...
Deep learning has recently been applied to various research areas of des...
Deep learning has recently been applied to various research areas of des...