ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Yue, Li, Yuxuan, Liu, Chenang, Wang, Yinan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
by: Li, Yuxuan, et al.
Published: (2023)
by: Li, Yuxuan, et al.
Published: (2023)
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
by: Li, Yuxuan, et al.
Published: (2023)
by: Li, Yuxuan, et al.
Published: (2023)
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
by: Li, Yuxuan, et al.
Published: (2022)
by: Li, Yuxuan, et al.
Published: (2022)
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
by: Saimon, Amirul Islam, et al.
Published: (2024)
by: Saimon, Amirul Islam, et al.
Published: (2024)
An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
by: Cantu, Frida, et al.
Published: (2025)
by: Cantu, Frida, et al.
Published: (2025)
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach
by: Li, Yinan, et al.
Published: (2023)
by: Li, Yinan, et al.
Published: (2023)
Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review
by: Lamart, Pierre, et al.
Published: (2024)
by: Lamart, Pierre, et al.
Published: (2024)
Quantum Bayesian Optimization for Quality Improvement in Fuselage Assembly
by: Liu, Jiayu, et al.
Published: (2025)
by: Liu, Jiayu, et al.
Published: (2025)
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
by: McKinney, Matthew, et al.
Published: (2024)
by: McKinney, Matthew, et al.
Published: (2024)
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
by: Hiniduma, Kaveen, et al.
Published: (2025)
by: Hiniduma, Kaveen, et al.
Published: (2025)
Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction
by: He, Kevin, et al.
Published: (2025)
by: He, Kevin, et al.
Published: (2025)
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data
by: Sun, Xu, et al.
Published: (2024)
by: Sun, Xu, et al.
Published: (2024)
Scalability in Building Component Data Annotation: Enhancing Facade Material Classification with Synthetic Data
by: Harrison, Josie, et al.
Published: (2024)
by: Harrison, Josie, et al.
Published: (2024)
Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
by: Qiu, Yunzhong, et al.
Published: (2026)
by: Qiu, Yunzhong, et al.
Published: (2026)
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
by: Xu, Jinda, et al.
Published: (2025)
by: Xu, Jinda, et al.
Published: (2025)
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing
by: Xiao, Xiaofeng, et al.
Published: (2025)
by: Xiao, Xiaofeng, et al.
Published: (2025)
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction
by: Wu, Junfeng, et al.
Published: (2025)
by: Wu, Junfeng, et al.
Published: (2025)
An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
by: Xu, Jinxin, et al.
Published: (2024)
by: Xu, Jinxin, et al.
Published: (2024)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
by: Xie, Wen-Bo, et al.
Published: (2025)
by: Xie, Wen-Bo, et al.
Published: (2025)
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
by: Liu, Jiyuan, et al.
Published: (2024)
by: Liu, Jiyuan, et al.
Published: (2024)
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing
by: Yin, Yuxuan, et al.
Published: (2025)
by: Yin, Yuxuan, et al.
Published: (2025)
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
by: Cao, Yuxuan, et al.
Published: (2025)
by: Cao, Yuxuan, et al.
Published: (2025)
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
by: Yin, Yuxuan, et al.
Published: (2023)
by: Yin, Yuxuan, et al.
Published: (2023)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Advanced Predictive Quality Assessment for Ultrasonic Additive Manufacturing with Deep Learning Model
by: Poudel, Lokendra, et al.
Published: (2024)
by: Poudel, Lokendra, et al.
Published: (2024)
Data Quality Control in Federated Instruction-tuning of Large Language Models
by: Du, Yaxin, et al.
Published: (2024)
by: Du, Yaxin, et al.
Published: (2024)
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
by: Qiao, Nan, et al.
Published: (2025)
by: Qiao, Nan, et al.
Published: (2025)
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems
by: Chen, Zhiyi, et al.
Published: (2024)
by: Chen, Zhiyi, et al.
Published: (2024)
How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws
by: Zhu, Zhitao, et al.
Published: (2026)
by: Zhu, Zhitao, et al.
Published: (2026)
ActiveDP: Bridging Active Learning and Data Programming
by: Guan, Naiqing, et al.
Published: (2024)
by: Guan, Naiqing, et al.
Published: (2024)
Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing
by: Lu, Rongwei, et al.
Published: (2023)
by: Lu, Rongwei, et al.
Published: (2023)
Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement
by: Tseng, Chiung-Yi, et al.
Published: (2025)
by: Tseng, Chiung-Yi, et al.
Published: (2025)
Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)
by: Yang, Bin, et al.
Published: (2025)
Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions
by: Kirsch, Andreas
Published: (2024)
by: Kirsch, Andreas
Published: (2024)
Active Advantage-Aligned Online Reinforcement Learning with Offline Data
by: Liu, Xuefeng, et al.
Published: (2025)
by: Liu, Xuefeng, et al.
Published: (2025)
On the Benefits of Active Data Collection in Operator Learning
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
Active Data Sampling and Generation for Bias Remediation
by: Maratea, Antonio, et al.
Published: (2025)
by: Maratea, Antonio, et al.
Published: (2025)
Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems
by: Chen, Zhiyi, et al.
Published: (2023)
by: Chen, Zhiyi, et al.
Published: (2023)
Similar Items
-
Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
by: Li, Yuxuan, et al.
Published: (2023) -
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
by: Li, Yuxuan, et al.
Published: (2023) -
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
by: Li, Yuxuan, et al.
Published: (2022) -
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
by: Saimon, Amirul Islam, et al.
Published: (2024) -
An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
by: Cantu, Frida, et al.
Published: (2025)