All Stories

  1. Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction
  2. TA-TFN: Task-Adaptive Frequency Decoupling for Generalizable Battery State Estimation across Chemistries
  3. MedTVL: Harnessing Vision and Language for Medical Time Series Classification
  4. Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System
  5. SCAlign: Transaction Event Prediction via Multi-Scale Market Dynamics Alignment
  6. Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
  7. Heterophilic Graph Neural Networks Optimization with Causal Message-passing
  8. DBD-Diff: Defocus Blur Detection Using Semantic and Texture Correlation Guided Diffusion Model
  9. Data Imputation from the Perspective of Graph Dirichlet Energy
  10. Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
  11. A Co-training Approach for Noisy Time Series Learning
  12. Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection
  13. Economic parameter design for ultra-fast laser micro-drilling process
  14. Stability Conditions and Robustness Analysis of a General MMSE Run-to-Run Controller
  15. The Internet of Things for Smart Manufacturing: A Review
  16. Monitoring the data quality of data streams using a two-step control scheme
  17. A spatial-adaptive sampling procedure for online monitoring of big data streams
  18. Opportunities and challenges of quality engineering for additive manufacturing
  19. Editors’ note for special issue: “Quality engineering in advanced manufacturing”
  20. Online profile monitoring for surgical outcomes using a weighted score test
  21. A computationally efficient self-starting scheme to monitor general linear profiles with abrupt changes
  22. Statistical transfer learning: A review and some extensions to statistical process control
  23. Detection and Diagnosis of Distribution Changes of Degree Ratio in Complex Networks