Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load

no code implementations • 3 Feb 2023 • Chu Wang, Manfeng Dou, Zhongliang Li, Rachid Outbib, Dongdong Zhao, Jian Zuo, Yuanlin Wang, Bin Liang, Peng Wang

Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange membrane fuel cell (PEMFC).

Motion-aware Memory Network for Fast Video Salient Object Detection

1 code implementation • 1 Aug 2022 • Xing Zhao, Haoran Liang, Peipei Li, Guodao Sun, Dongdong Zhao, Ronghua Liang, Xiaofei He

Moreover, inspired by the boundary supervision commonly used in image salient object detection (ISOD), we design a motion-aware loss for predicting object boundary motion and simultaneously perform multitask learning for VSOD and object motion prediction, which can further facilitate the model to extract spatiotemporal features accurately and maintain the object integrity.

motion prediction Object +4