Namwoo Kang
Orcid: 0000-0003-3475-7477
According to our database1,
Namwoo Kang
authored at least 42 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation.
CoRR, April, 2025
CoRR, April, 2025
Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions.
CoRR, March, 2025
CoRR, March, 2025
Modular Mechanism Design Optimization in Large-Scale Systems with Manufacturing Cost Considerations.
CoRR, March, 2025
Projected variable three-term conjugate gradient algorithm for enhancing generalization performance in deep neural network training.
Neurocomputing, 2025
Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels.
Expert Syst. Appl., 2025
Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance.
Eng. Appl. Artif. Intell., 2025
Eng. Appl. Artif. Intell., 2025
2024
BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction.
J. Comput. Des. Eng., 2024
Deep generative model-based synthesis framework of four-bar linkage mechanisms with target conditions.
J. Comput. Des. Eng., 2024
Weighted unsupervised domain adaptation considering geometry features and engineering performance of 3D design data.
Expert Syst. Appl., 2024
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions.
CoRR, 2024
Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout.
CoRR, 2024
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble.
CoRR, 2024
Vehicle Suspension Recommendation System: Multi-Fidelity Neural Network-based Mechanism Design Optimization.
CoRR, 2024
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction.
CoRR, 2024
CoRR, 2024
Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions.
CoRR, 2024
2023
J. Comput. Des. Eng., July, 2023
J. Comput. Des. Eng., July, 2023
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design.
CoRR, 2023
2022
J. Comput. Des. Eng., 2022
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress.
CoRR, 2022
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes.
CoRR, 2022
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs.
Comput. Aided Des., 2022
2021
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization.
Expert Syst. Appl., 2021
2020
Int. J. Hum. Comput. Interact., 2020
Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization.
CoRR, 2020
Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs.
CoRR, 2020
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis.
CoRR, 2020
Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation.
CoRR, 2020
A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests.
CoRR, 2020
2019
Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation.
CoRR, 2019
Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization.
CoRR, 2019
2014
2007
Ind. Manag. Data Syst., 2007