13 citations · 13 across the 8 of their papers we have counts for
8 papers
Machine Learning-Based Battery State-of-health Prediction for Unmanned Aerial Vehicles Predictive Maintenance
Jiarui Xie, Lingchen Kong, Mohamed Rami Latreche +3
Battery state-of-health (SoH) prediction aims to estimate the remaining capacity by modeling battery degradation through its life cycle. Machine learning (ML)-based SoH models can…
Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
Jiarui Xie, Yaoyao Fiona Zhao
The deployment of machine learning (ML)-based process monitoring systems has significantly advanced additive manufacturing (AM) by enabling real-time defect detection, quality asse…
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
Jiarui Xie, Zhuo Yang, Chun-Chun Hu +3
Powder bed fusion (PBF) is an emerging metal additive manufacturing (AM) technology that enables rapid fabrication of complex geometries. However, defects such as pores and balling…
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie, Mutahar Safdar, Lequn Chen +2
Various machine learning (ML)-based in-situ monitoring systems have been developed to detect anomalies and defects in laser additive manufacturing (LAM) processes. While multimodal…
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
Mutahar Safdar, Jiarui Xie, Andrei Mircea +1
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in…
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing
Jiarui Xie, Mutahar Safdar, Andrei Mircea +5
Machine learning (ML)-based cyber-physical systems (CPSs) have been extensively developed to improve the print quality of additive manufacturing (AM). However, the reproducibility…
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko +3
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in…
Fairness- and uncertainty-aware data generation for data-driven design
Jiarui Xie, Chonghui Zhang, Lijun Sun +1
The design dataset is the backbone of data-driven design. Ideally, the dataset should be fairly distributed in both shape and property spaces to efficiently explore the underlying…