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10/28/2022
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network
Supervised classification methods have been widely utilized for the qual...
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10/28/2022
Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing
Additive Manufacturing (AM) is a powerful technology that produces compl...
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10/28/2022
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems
This paper addresses the problem of fault diagnosis in multistation asse...
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04/26/2022
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks
Physics-informed Neural Networks (PINNs) are gaining attention in the en...
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08/05/2020
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
Tensor, also known as multi-dimensional array, arises from many applicat...
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06/15/2020
Self-supervised Learning: Generative or Contrastive
Deep supervised learning has achieved great success in the last decade. ...
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10/22/2018
