Namwoo Kang

According to our database, Namwoo Kang authored at least 23 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Generative Design for Mass Production.

Jihoon Kim, Yongmin Kwon, Namwoo Kang

CoRR, 2024

Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions.

Sumin Lee, Jihoon Kim, Namwoo Kang

CoRR, 2024

Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance.

Sumin Lee, Sunwoong Yang, Namwoo Kang

CoRR, 2024

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective.

Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang

CoRR, 2024

2023

Topology optimization via machine learning and deep learning: a review.

Seungyeon Shin, Dongju Shin, Namwoo Kang

J. Comput. Des. Eng., July, 2023

Adaptive neural network ensemble using prediction frequency.

Ungki Lee, Namwoo Kang

J. Comput. Des. Eng., July, 2023

Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data.

Seungyeon Shin, Namwoo Kang

CoRR, 2023

Performance Comparison of Design Optimization and Deep Learning-based Inverse Design.

Minyoung Jwa, Jihoon Kim, Seungyeon Shin, Ah-hyeon Jin, Dongju Shin, Namwoo Kang

CoRR, 2023

2022

Safety monitoring system of personal mobility driving using deep learning.

Eunji Kim, Hanyoung Ryu, Hyunji Oh, Namwoo Kang

J. Comput. Des. Eng., 2022

Adaptive Neural Network Ensemble Using Frequency Distribution.

Ungki Lee, Namwoo Kang

CoRR, 2022

Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress.

Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo, Sunghee Lee, ChangGon Kim, Sungpil Heo, Namwoo Kang

CoRR, 2022

Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes.

Seongsin Kim, Minyoung Jwa, Soonwook Lee, Sunghoon Park, Namwoo Kang

CoRR, 2022

Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs.

Seowoo Jang, Soyoung Yoo, Namwoo Kang

Comput. Aided Des., 2022

2021

Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization.

Soyoung Yoo, Namwoo Kang

Expert Syst. Appl., 2021

2020

Autonomous Taxi Service Design and User Experience.

Sangwon Kim, Jennifer Jah Eun Chang, Hyun Ho Park, Seon Uk Song, Chang Bae Cha, Ji Won Kim, Namwoo Kang

Int. J. Hum. Comput. Interact., 2020

Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization.

Seongsin Kim, Ungki Lee, Ikjin Lee, Namwoo Kang

CoRR, 2020

Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs.

Seowoo Jang, Namwoo Kang

CoRR, 2020

The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis.

Sunghee Lee, Soyoung Yoo, Seongsin Kim, Eunji Kim, Namwoo Kang

CoRR, 2020

Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation.

Soyoung Yoo, Sunghee Lee, Seongsin Kim, Kwang Hyeon Hwang, Jong Ho Park, Namwoo Kang

CoRR, 2020

A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests.

Soyoung Yoo, Sunghee Lee, Seongsin Kim, Eunji Kim, Hwan Hwangbo, Namwoo Kang

CoRR, 2020

2019

Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation.

Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros

CoRR, 2019

Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization.

Sangeun Oh, Yongsu Jung, Seongsin Kim, Ikjin Lee, Namwoo Kang

CoRR, 2019

2007

Integration of marketing domain and R&D domain in NPD design process.

Namwoo Kang, Junyoung Kim, Yongtae Park

Ind. Manag. Data Syst., 2007