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An Approach for Adaptive Automatic Threat Recognition Within 3D Computed...
Qian Wang, Khalid N. Ismail, Toby P. Breckon: An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. CoRR abs/1903.10604 (2019)
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On the Performance of Extended Real-Time Object Detection and Attribute...
Khalid N. Ismail, Toby P. Breckon: On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. ICMLA 2019: 641-646
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Cancelable fusion-based face recognition.
Essam Abdellatef, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie: Cancelable fusion-based face recognition. Multim. Tools Appl. 78(22):...
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Cancelable multi-biometric recognition system based on deep learning.
Essam Abdellatef, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie: Cancelable multi-biometric recognition system based on deep learning. Vis....
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Fusion of deep-learned and hand-crafted features for cancelable recognition...
Essam Abdellatef, Eman M. Omran, Randa F. Soliman, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie, Ayman A. Eisa: Fusion of deep-learned and...
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DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and...
Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon: DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving...
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