5 citations · 6 across the 5 of their papers we have counts for
5 papers
DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset
Seongjun Hong, Yongmin Kwon, Dongju Shin +2
Recent advances in artificial intelligence (AI) have impacted various fields, including mechanical engineering. However, the development of diverse, high-quality datasets for struc…
Learning Design Preferences through Design Feature Extraction and Weighted Ensemble
Dongju Shin, Sunghee Lee, Namwoo Kang
Design is a factor that plays an important role in consumer purchase decisions. As the need for understanding and predicting various preferences for each customer increases along w…
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
Minyoung Jwa, Jihoon Kim, Seungyeon Shin +3
Surrogate model-based optimization has been increasingly used in the field of engineering design. It involves creating a surrogate model with objective functions or constraints bas…
Topology Optimization via Machine Learning and Deep Learning: A Review
Seungyeon Shin, Dongju Shin, Namwoo Kang
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective desig…
A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection
Dongwon Park, Yonghyeok Seo, Dongju Shin +2
Recently, robotic grasp detection (GD) and object detection (OD) with reasoning have been investigated using deep neural networks (DNNs). There have been works to combine these mul…