Items where Author is "Ibadulla, R."
    
    
      
        
        Ibadulla, R. & Asad, H.  ORCID: 0000-0002-8506-5721 (2026).
        
        PROTECTION: Provably Robust Intrusion Detection system for IoT through recursive Delegation.
        
        In: Asad, H.
ORCID: 0000-0002-8506-5721 (2026).
        
        PROTECTION: Provably Robust Intrusion Detection system for IoT through recursive Delegation.
        
        In: Asad, H.  ORCID: 0000-0002-8506-5721 (Ed.),
        
        
        
        Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops.
        
        DECSoS 2025: 20th International Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems, 9 Sep 2025, Stockholm, Sweden.
      
      
    
    doi: 10.1007/978-3-032-02018-5_11
ORCID: 0000-0002-8506-5721 (Ed.),
        
        
        
        Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops.
        
        DECSoS 2025: 20th International Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems, 9 Sep 2025, Stockholm, Sweden.
      
      
    
    doi: 10.1007/978-3-032-02018-5_11
  
    
    
      
        
        Ibadulla, R., Reyes Aldasoro, C. C.  ORCID: 0000-0002-9466-2018 & Chen, T.  (2024).
        
        Fat-U-Net: Non-Contracting U-Net for Free-Space Optical Neural Networks.
        
        In: 
        
        
        
        Proceedings Volume 12903, AI and Optical Data Sciences V.
        
        AI and Optical Data Sciences V, 29 Jan - 1 Feb 2024, San Francisco, USA.
      
      
    
    doi: 10.1117/12.3008618
ORCID: 0000-0002-9466-2018 & Chen, T.  (2024).
        
        Fat-U-Net: Non-Contracting U-Net for Free-Space Optical Neural Networks.
        
        In: 
        
        
        
        Proceedings Volume 12903, AI and Optical Data Sciences V.
        
        AI and Optical Data Sciences V, 29 Jan - 1 Feb 2024, San Francisco, USA.
      
      
    
    doi: 10.1117/12.3008618
  
Ibadulla, R. (2024). High Resolution Capabilities of Free-space Optical Neural Networks. (Unpublished Doctoral thesis, City, University of London)
    Ibadulla, R., Chen, T. & Reyes Aldasoro, C. C.  ORCID: 0000-0002-9466-2018  (2023).
    FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks.
    AI, 4(2),
    
    
     pp. 361-374.
    doi: 10.3390/ai4020018
ORCID: 0000-0002-9466-2018  (2023).
    FatNet: High-Resolution Kernels for Classification Using Fully Convolutional Optical Neural Networks.
    AI, 4(2),
    
    
     pp. 361-374.
    doi: 10.3390/ai4020018
  
 
               
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