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Namwoo 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) - [i22]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) - [i21]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) - [i20]Sumin Lee, Jihoon Kim, Namwoo Kang:
Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions. CoRR abs/2402.14882 (2024) - [i19]Jihoon Kim, Yongmin Kwon, Namwoo Kang:
Deep Generative Design for Mass Production. CoRR abs/2403.12098 (2024) - [i18]Dongju Shin, Sunghee Lee, Namwoo Kang:
Learning Design Preferences through Design Feature Extraction and Weighted Ensemble. CoRR abs/2405.07193 (2024) - [i17]Jangseop Park, Namwoo Kang:
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction. CoRR abs/2406.01996 (2024) - [i16]Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang:
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. CoRR abs/2406.03789 (2024) - [i15]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) - 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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