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ORCIDNamwoo Kang
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2020 – today
- 2024
[j9]Seungyeon Shin, Namwoo Kang
:
Weighted unsupervised domain adaptation considering geometry features and engineering performance of 3D design data. Expert Syst. Appl. 256: 124928 (2024)- [j8]Sumin Lee, Jihoon Kim, Namwoo Kang:
Deep generative model-based synthesis framework of four-bar linkage mechanisms with target conditions. J. Comput. Des. Eng. 11(5): 318-332 (2024) - [i23]Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang:
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. CoRR abs/2401.08667 (2024) - [i22]Sumin Lee, Sunwoong Yang, Namwoo Kang:
Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance. CoRR abs/2402.00032 (2024) - [i21]Sumin Lee, Jihoon Kim, Namwoo Kang:
Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions. CoRR abs/2402.14882 (2024) - [i20]Jihoon Kim, Yongmin Kwon, Namwoo Kang:
Deep Generative Design for Mass Production. CoRR abs/2403.12098 (2024) - [i19]Dongju Shin, Sunghee Lee, Namwoo Kang:
Learning Design Preferences through Design Feature Extraction and Weighted Ensemble. CoRR abs/2405.07193 (2024) - [i18]Jangseop Park, Namwoo Kang:
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction. CoRR abs/2406.01996 (2024) - [i17]Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang:
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. CoRR abs/2406.03789 (2024) - [i16]Seongjun Hong, Yongmin Kwon, Dongju Shin, Jangseop Park, Namwoo Kang:
DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset. CoRR abs/2406.09047 (2024) - [i15]Sumin Lee, Namwoo Kang:
Vehicle Suspension Recommendation System: Multi-Fidelity Neural Network-based Mechanism Design Optimization. CoRR abs/2410.03045 (2024) - 2023
- [j7]Ungki Lee, Namwoo Kang:
Adaptive neural network ensemble using prediction frequency. J. Comput. Des. Eng. 10(4): 1547-1560 (2023) - [j6]Seungyeon Shin, Dongju Shin, Namwoo Kang:
Topology optimization via machine learning and deep learning: a review. J. Comput. Des. Eng. 10(4): 1736-1766 (2023) - [i14]Minyoung Jwa, Jihoon Kim, Seungyeon Shin, Ah-hyeon Jin, Dongju Shin, Namwoo Kang:
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design. CoRR abs/2308.13000 (2023) - [i13]Seungyeon Shin, Namwoo Kang:
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data. CoRR abs/2309.04499 (2023) - 2022
- [j5]Seowoo Jang, Soyoung Yoo, Namwoo Kang:
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs. Comput. Aided Des. 146: 103225 (2022) - [j4]Eunji Kim, Hanyoung Ryu, Hyunji Oh, Namwoo Kang:
Safety monitoring system of personal mobility driving using deep learning. J. Comput. Des. Eng. 9(4): 1397-1409 (2022) - [i12]Seongsin Kim, Minyoung Jwa, Soonwook Lee, Sunghoon Park, Namwoo Kang:
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes. CoRR abs/2202.13309 (2022) - [i11]Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo, Sunghee Lee, ChangGon Kim, Sungpil Heo, Namwoo Kang:
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress. CoRR abs/2210.01126 (2022) - [i10]Ungki Lee, Namwoo Kang:
Adaptive Neural Network Ensemble Using Frequency Distribution. CoRR abs/2210.10360 (2022) - [i9]Seungyeon Shin, Dongju Shin, Namwoo Kang:
Topology Optimization via Machine Learning and Deep Learning: A Review. CoRR abs/2210.10782 (2022) - 2021
- [j3]Soyoung Yoo, Namwoo Kang:
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization. Expert Syst. Appl. 183: 115430 (2021) - 2020
- [j2]Sangwon Kim, Jennifer Jah Eun Chang, Hyun Ho Park, Seon Uk Song, Chang Bae Cha, Ji Won Kim, Namwoo Kang:
Autonomous Taxi Service Design and User Experience. Int. J. Hum. Comput. Interact. 36(5): 429-448 (2020) - [i8]Soyoung Yoo, Sunghee Lee, Seongsin Kim, Eunji Kim, Hwan Hwangbo, Namwoo Kang:
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests. CoRR abs/2002.09155 (2020) - [i7]Soyoung Yoo, Sunghee Lee, Seongsin Kim, Kwang Hyeon Hwang, Jong Ho Park, Namwoo Kang:
Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation. CoRR abs/2006.02138 (2020) - [i6]Sunghee Lee, Soyoung Yoo, Seongsin Kim, Eunji Kim, Namwoo Kang:
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis. CoRR abs/2006.16870 (2020) - [i5]Seowoo Jang, Namwoo Kang:
Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs. CoRR abs/2008.07119 (2020) - [i4]Seongsin Kim, Ungki Lee, Ikjin Lee, Namwoo Kang:
Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization. CoRR abs/2010.09847 (2020) - [i3]Soyoung Yoo, Namwoo Kang:
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization. CoRR abs/2010.14824 (2020)
2010 – 2019
- 2019
- [i2]Sangeun Oh, Yongsu Jung, Seongsin Kim, Ikjin Lee, Namwoo Kang:
Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization. CoRR abs/1903.01548 (2019) - [i1]Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros:
Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation. CoRR abs/1912.05047 (2019)
2000 – 2009
- 2007
- [j1]Namwoo Kang, Junyoung Kim, Yongtae Park:
Integration of marketing domain and R&D domain in NPD design process. Ind. Manag. Data Syst. 107(6): 780-801 (2007)
Coauthor Index
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