Bo Shen
Orcid: 0000-0002-2643-3600Affiliations:
- New Jersey Institute of Technology, Department of Mechanical and Industrial Engineering, Newark, NJ, USA
- Virginia Polytechnic Institute and State University, Blacksburg, VA, USA (PhD)
According to our database1,
Bo Shen authored at least 14 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Optimizing Sensor and Data Selection on Lower Limbs via Deep Learning for Real-Time Human Activity Recognition.
IEEE Trans. Hum. Mach. Syst., April, 2026
2024
Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
J. Intell. Manuf., June, 2024
2023
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Robust Tensor Decomposition Based Background/Foreground Separation in Noisy Videos and Its Applications in Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2023
CoRR, 2023
Predicting Metabolic Rate for Firefighting Activities with Worn Loads using a Heart Rate Sensor and Machine Learning.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
Super Resolution for Multi-Sources Image Stream Data Using Smooth and Sparse Tensor Completion and Its Applications in Data Acquisition of Additive Manufacturing.
Technometrics, 2022
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee.
J. Mach. Learn. Res., 2022
Imbalanced Data Classification via Generative Adversarial Network with Application to Anomaly Detection in Additive Manufacturing Process.
CoRR, 2022
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.
CoRR, 2022
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems.
CoRR, 2022
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.
CoRR, 2022
2021
Clustered Discriminant Regression for High-Dimensional Data Feature Extraction and Its Applications in Healthcare and Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2021
2020
CoRR, 2020