A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection S Qummar, FG Khan, S Shah, A Khan, S Shamshirband, ZU Rehman, ... IEEE Access 7, 150530-150539, 2019 | 454 | 2019 |
Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture Z Khan, FG Khan, A Khan, ZU Rehman, S Shah, S Qummar, F Ali, S Pack IEEE Access 9, 61408-61416, 2021 | 112 | 2021 |
Performance evaluation of fault tolerance techniques in grid computing system FG Khan, K Qureshi, B Nazir Computers & Electrical Engineering 36 (6), 1110-1122, 2010 | 54 | 2010 |
Energy Efficient Routing Protocols in Wireless Sensor Networks: A survey O Khan, FG Khan, B Nazir, U Wazir International Journal of Computer Science and Information Security 14 (6), 398, 2016 | 49 | 2016 |
Ensemble framework of deep CNNs for diabetic retinopathy detection G Jinfeng, S Qummar, Z Junming, Y Ruxian, FG Khan Computational Intelligence and Neuroscience 2020 (1), 8864698, 2020 | 47 | 2020 |
Secure‐CamFlow: A device‐oriented security model to assist information flow control systems in cloud environments for IoTs A Khurshid, AN Khan, FG Khan, M Ali, J Shuja, AR Khan Concurrency and Computation: Practice and Experience 31 (8), e4729, 2019 | 35 | 2019 |
A lightweight and compromise‐resilient authentication scheme for IoTs MF Aziz, AN Khan, J Shuja, IA Khan, FG Khan, AR Khan Transactions on Emerging Telecommunications Technologies 33 (3), e3813, 2022 | 32 | 2022 |
A hybrid fault tolerance technique in grid computing system K Qureshi, FG Khan, P Manuel, B Nazir The Journal of Supercomputing 56, 106-128, 2011 | 30 | 2011 |
Fast parallel sorting algorithms on GPUs B Jan, B Montrucchio, C Ragusa, FG Khan, O Khan International Journal of Distributed and Parallel Systems 3 (6), 107, 2012 | 28 | 2012 |
Service Level Agreement in Cloud Computing: A Survey U Wazir, FG Khan, S Shah International Journal of Computer Science and Information Security 14 (6), 324, 2016 | 27 | 2016 |
A comparative study and workload distribution model for re‐encryption schemes in a mobile cloud computing environment AN Khan, M Ali, AUR Khan, FG Khan, IA Khan, W Jadoon, ... International Journal of Communication Systems 30 (16), e3308, 2017 | 20 | 2017 |
Aggregated provenance and its implications in clouds M Imran, H Hlavacs, FA Khan, S Jabeen, FG Khan, S Shah, M Alharbi Future Generation Computer Systems 81, 348-358, 2018 | 17 | 2018 |
A deep learning based review on abdominal images A Rehman, FG Khan Multimedia Tools and Applications 80 (20), 30321-30352, 2021 | 15 | 2021 |
Energy efficiency techniques in cloud computing AU Rahman, FG Khan, W Jadoon International Journal of Computer Science and Information Security (IJCSIS …, 2016 | 15 | 2016 |
Analysis of Fast Parallel Sorting Algorithms for GPU Architectures' FG Khan, OU Khan, B Montrucchio, P Giaccone 2011 Frontiers of Information Technology, 173-178, 2011 | 15 | 2011 |
Identification of microRNA precursors using reduced and hybrid features. A Khan, S Shah, F Wahid, FG Khan, S Jabeen Molecular bioSystems 13 (8), 1640-1645, 2017 | 11 | 2017 |
A deep learning based approach for localization and recognition of Pakistani vehicle license plates U Yousaf, A Khan, H Ali, FG Khan, ZU Rehman, S Shah, F Ali, S Pack, ... Sensors 21 (22), 7696, 2021 | 10 | 2021 |
Integration of big data and deep learning M Khan, B Jan, H Farman, M Talha, S Ali, S Shah, FG Khan, J Iqbal Deep Learning: Convergence to Big Data Analytics, 43-52, 2019 | 9 | 2019 |
Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors UA Khan, IA Khan, A Din, W Jadoon, RN Jadoon, MA Khan, FG Khan, ... Scientific Programming 2020 (1), 6471438, 2020 | 8 | 2020 |
Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis EK Jadoon, FG Khan, S Shah, A Khan, M Elaffendi IEEE Access, 2023 | 6 | 2023 |