Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

Higher-order functions let you treat functions like any other value — passing them around, returning them, and composing them for cleaner, more reusable code. They power everyday tools like map, ...

Abstract: This work proposes a new processing method based on orthonormal basis functions (OBFs) for two-dimensional (2-D) magnetic anomaly data, which is an innovative extension of one-dimensional (1 ...