| Cancelable multi-biometric recognition system based on deep learning E Abdellatef, NA Ismail, SESE Abd Elrahman, KN Ismail, M Rihan, ... The Visual Computer 36, 1097-1109, 2020 | 44 | 2020 |
| Fusion of deep-learned and hand-crafted features for cancelable recognition systems E Abdellatef, EM Omran, RF Soliman, NA Ismail, SESE Abd Elrahman, ... | 34 | 2020 |
| Cancelable face and iris recognition system based on deep learning E Abdellatef, RF Soliman, EM Omran, NA Ismail, SESA Elrahman, ... Optical and Quantum Electronics 54 (11), 702, 2022 | 21 | 2022 |
| An approach for adaptive automatic threat recognition within 3D computed tomography images for baggage security screening Q Wang, KN Ismail, TP Breckon Journal of X-ray Science and Technology 28 (1), 35-58, 2020 | 21 | 2020 |
| Durlar: A high-fidelity 128-channel lidar dataset with panoramic ambient and reflectivity imagery for multi-modal autonomous driving applications L Li, KN Ismail, HPH Shum, TP Breckon 2021 International Conference on 3D Vision (3DV), 1227-1237, 2021 | 19 | 2021 |
| Cancelable fusion-based face recognition E Abdellatef, NA Ismail, SESE Abd Elrahman, KN Ismail, M Rihan, ... Multimedia Tools and Applications 78, 31557-31580, 2019 | 10 | 2019 |
| Machine learning security and privacy: a review of threats and countermeasures A Paracha, J Arshad, MB Farah, K Ismail EURASIP Journal on Information Security 2024 (1), 1-23, 2024 | 4 | 2024 |
| On the Performance of Extended Real-time Object Detection and Attribute Estimation Within Urban Scene Understanding K Ismail, T Breckon 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 2 | 2019 |
| Four dimensional image reconstruction and visualisation with EIT for pipeline multiphase flows KNAE Ismail University of Leeds, 2013 | 2 | 2013 |
| A Comparative Study of Safe Tomography Techniques in Implementation of Industrial Process Measurements M Badawy, NA Ismail, S Alamrity, K Ismail 2020 15th International Conference on Computer Engineering and Systems …, 2020 | 1 | 2020 |
| Deep behavioral analysis of machine learning algorithms against data poisoning A Paracha, J Arshad, MB Farah, K Ismail International Journal of Information Security 24 (1), 29, 2025 | | 2025 |
| Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning A Paracha, J Arshad, MB Farah, K Ismail arXiv preprint arXiv:2411.00519, 2024 | | 2024 |
| PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation A Magdy, KN Ismail, MH Mohamed, M Hassaballah, H Mahmoud, ... IEEE Access, 2024 | | 2024 |
| DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification S Chughtai, Z Senousy, A Mahany, NS Elmitwally, KN Ismail, MM Gaber, ... IEEE Open Journal of the Computer Society, 2024 | | 2024 |
| 3D EIT Reconstruction Algorithms for Pipeline Flow Imaging and Visualisation K Ismail, M Wang, BS Hoyle 6th International Symposium on Process Tomography, 2013 | | 2013 |
| An efficient 3D SCG-based image reconstruction for pipeline multiphase flows K Ismail, M Wang, BS Hoyle 7th World Congress in Industrial Process Tomography, 401-410, 2013 | | 2013 |
| A novel Zigzag EIT sensor for multiphase pipeline flows K Ismail, M Wang, BS Hoyle 6th World Congress on Industrial Process Tomography, 573-582, 2010 | | 2010 |
| Using principle component analysis in electrical tomography K Ismail, M Wang, BS Hoyle Multi-dimensional Advances for industrial Process Monitoring, 2009 | | 2009 |
Toby P BreckonEngineering & Computer Science, Durham University, UKAdresse e-mail validée de durham.ac.uk