Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject attention mechanism
Showing results 1 to 6 of 6
Issue Date | Title | Author(s) |
17-Jul-2023 | Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals | Ahmed, HOA; Nandi, AK |
27-Mar-2023 | Differentiable channel pruning guided via attention mechanism: a novel neural network pruning approach | Cheng, H; Wang, Z; Ma, L; Wei, Z; Alsaadi, FE; Liu, X |
21-Dec-2023 | ELTS-Net: An enhanced liver tumor segmentation network with augmented receptive field and global contextual information | Guo, X; Wang, Z; Wu, P; Li, Y; Alsaadi, FE; Zeng, N |
23-Aug-2022 | Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection | Lei, T; Xue, D; Ning, H; Yang, S; Lv, Z; Nandi, AK |
20-Apr-2023 | Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis | Xie, T; Wang, Z; Li, H; Wu, P; Huang, H; Zhang, H; Alsaadi, FE; Zeng, N |
7-Oct-2022 | A swarm optimizer with attention-based particle sampling and learning for large scale optimization | Sheng, M; Wang, Z; Liu, W; Wang, X; Chen, S; Liu, X |