Abstract: Air flow prediction in urban is of great significance to various industries, and it is also a complex engineering problem. Using the traditional computational fluid dynamics method to ...
Abstract: Accurate prediction of the remaining useful life (RUL) of bearings is critical for optimizing maintenance strategies, preventing unexpected failures, and enhancing repair management. Despite ...
Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...
Abstract: Out-of-distribution (OOD) detection is essential for the robustness of radar-based gesture recognition systems. This paper proposes Classification-Based Autoencoder Network (CAN), as a novel ...