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
    
  
    
    
       
    
  
  
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      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 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
    
  
  
       
       
     
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