Alamri, Nawaf ORCID: https://orcid.org/0000-0002-5641-0178, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Bigot, Samuel ORCID: https://orcid.org/0000-0002-0789-4727 2024. A movel hybrid Bees Regression Convolutional Neural Network (BA-RCNN) applied to porosity prediction in selective laser melting parts. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023. Published in: Spezi, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 95-99. 10.18573/conf1.w |
Alamri, Nawaf ORCID: https://orcid.org/0000-0002-5641-0178
2023.
Improving the performance of deep learning techniques
using nature inspired algorithms and applying them in
porosity prediction.
PhD Thesis,
Cardiff University.
Item availability restricted. |
Alamri, Nawaf Mohammad H ORCID: https://orcid.org/0000-0002-5641-0178, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Bigot, Samuel ORCID: https://orcid.org/0000-0002-0789-4727 2022. Optimization of convolutional neural network topology and training parameters using Bees Algorithm. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022. Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE, pp. 1-6. 10.1109/iSSSC56467.2022.10051487 |