Khalid N. Ismail

According to our database, Khalid N. Ismail authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification.

Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

IEEE Open J. Comput. Soc., 2024

2021

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.

Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon

Proceedings of the International Conference on 3D Vision, 2021

2020

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

Vis. Comput., 2020

Fusion of deep-learned and hand-crafted features for cancelable recognition systems.

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

Soft Comput., 2020

2019

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

Multim. Tools Appl., 2019

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.

Qian Wang, Khalid N. Ismail, Toby P. Breckon

CoRR, 2019

On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding.

Khalid N. Ismail, Toby P. Breckon

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019