[1] Z. Pan, H. Chen, Y. Wang, B. Huang, and W. Gui, "A new perspective on ae-and vae-based process monitoring," TechRxiv, Apr. 2022, doi.10.36227/techrxiv.19617534 ...

Abstract: Accurate automated extraction of coseismic deformation from synthetic aperture radar (SAR) data can be challenging owing to interference from inherent atmospheric noise. Particularly, the ...

1 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. 2 Computer Science Department, Faculty of Science, Tanta University, Tanta, Egypt ...

EVENTTSF: Event-Aware Non-Stationary Time Series Forecasting Code IJCAI 2026 SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies Code ...

A total of 26,233 and 152,979 patients who met our selection criteria, as described under Methods, were identified from the Memorial Hermann Hospital System (MHHS) and Medical Information Mart for ...

Civil aviation is constantly striving to improve flight safety. To change the accident-prone nature of Chinese civil aviation and improve flight safety, the Civil Aviation Administration of China ...

A variety of advanced machine learning and deep learning algorithms achieve state-of-the-art performance on various temporal processing tasks. However, these methods are heavily energy ...

Abstract: A complex-valued autoencoder neural network ca-pable of compressing & denoising radio frequency signals with arbitrary model scaling is proposed. Complex-valued time sam-ples received with ...

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