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 convolutional neural network (CNN)
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 8-Jun-2022 | Efficient CNN Architecture on FPGA Using High Level Module for Healthcare Devices | Jameil, AK; Al-Raweshidy, H |
| 17-Mar-2021 | Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks | Byerly, A; Kalganova, T |
| 8-Jul-2021 | On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs | Byerly, A; Kalganova, T; Grichnik, AJ |
| 25-Oct-2022 | Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification | Starodubov, D; Danishvar, S; Ott, R; Abu Ebayyeh, AARM; Cummings, N; Mousavi, A |
| 24-Mar-2023 | Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images | Lei, T; Geng, X; Ning, H; Lv, Z; Gong, M; Jin, Y; Nandi, AK |