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Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges

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Mar 01, 2024
Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu, Kong, Chenang Liu

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Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process

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Nov 09, 2022
Jihoon Chung, Bo Shen, Zhenyu, Kong

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Extracting lung function-correlated information from CT-encoded static textures

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Oct 29, 2022
Yu-Hua Huang, Xinzhi Teng, Jiang Zhang, Zhi Chen, Zongrui Ma, Ge Ren, Feng-Ming, Kong, Jing Cai

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Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing

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Oct 28, 2022
Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu, Kong

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A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems

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Oct 28, 2022
Jihoon Chung, Bo Shen, Zhenyu, Kong

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Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks

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Apr 29, 2022
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu, Kong

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Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model

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Aug 05, 2020
Bo Shen, Zhenyu, Kong

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A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors

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Oct 22, 2018
Babak Barazandeh, Mohammadhussein Rafieisakhaei, Sunwook Kim, Zhenyu, Kong, Maury A. Nussbaum

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