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Number of items: 5.

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.
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Alamri, Nawaf Mohammad 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 2023. Optimizing the parameters of long short-term memory networks using the bees algorithm. Applied Sciences 13 (4) , 2536. 10.3390/app13042536
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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

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. Predicting the porosity in selective laser melting parts using hybrid regression convolutional neural network. Applied Sciences 12 (24) , 12571. 10.3390/app122412571
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Alamri, Nawaf Mohammad 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. Deep learning: parameter optimization using proposed novel hybrid bees Bayesian convolutional neural network. Applied Artificial Intelligence 36 (1) , 2031815. 10.1080/08839514.2022.2031815
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