| DEEPFAKE image synthesis for data augmentation N Waqas, SI Safie, KA Kadir, S Khan, MHK Khel IEEE Access 10, 80847-80857, 2022 | 28 | 2022 |
| Hajj crowd management using CNN-based approach W Albattah, MHK Khel, S Habib, M Islam, S Khan, K Abdul Kadir Tech Science Press, 2020 | 27 | 2020 |
| Real-time monitoring of COVID-19 SOP in public gathering using deep learning technique MHK Khel, K Kadir, W Albattah, S Khan, M Noor, H Nasir, S Habib, ... Emerging Science Journal 5 (Special issue), 182-196, 2021 | 12 | 2021 |
| Realtime crowd monitoring—estimating count, speed and direction of people using hybridized yolov4 MHK Khel, KA Kadir, S Khan, M Noor, H Nasir, N Waqas, A Khan IEEE Access 11, 56368-56379, 2023 | 11 | 2023 |
| Crowd counting and localization beyond density map A Khan, K Kadir, H Nasir, JA Shah, W Albattah, S Khan, MH Kakakhel IEEE Access 10, 133142-133151, 2022 | 2 | 2022 |
| Hybridized YOLOv4 for detecting and counting people in congested crowds MHK Khel, K Kadir, S Khan, W Albattah, H Nasir, M Noor, A Khan, ... 2022 IEEE International Instrumentation and Measurement Technology …, 2022 | 2 | 2022 |
| GSTGM: Graph, spatial–temporal attention and generative based model for pedestrian multi-path prediction MHK Khel, P Greaney, M McAfee, S Moffett, K Meehan Image and Vision Computing 151, 105245, 2024 | 1 | 2024 |
| Pedestrian trajectory prediction using bilstm with spatial-temporal attention and sparse motion fields MHK Khel, P Greaney, M McAfee, S Moffett, K Meehan 2023 34th Irish Signals and Systems Conference (ISSC), 1-7, 2023 | 1 | 2023 |
| A Deep Learning Approach for Crowd Counting in Highly Congested Scene. A Khan, KA Kadir, JA Shah, W Albattah, M Saeed, H Nasir, ... Computers, Materials & Continua 73 (3), 2022 | | 2022 |
