| A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector I Ullah, B Raza, AK Malik, M Imran, SU Islam, SW Kim IEEE access 7, 60134-60149, 2019 | 313 | 2019 |
| Hybrid deep learning: An efficient reconnaissance and surveillance detection mechanism in SDN J Malik, A Akhunzada, I Bibi, M Imran, A Musaddiq, SW Kim IEEE Access 8, 134695-134706, 2020 | 71 | 2020 |
| A hybrid approach toward research paper recommendation using centrality measures and author ranking W Waheed, M Imran, B Raza, AK Malik, HA Khattak IEEE access 7, 33145-33158, 2019 | 45 | 2019 |
| Towards ontology-based multilingual URL filtering: A big data problem M Hussain, M Ahmed, HA Khattak, M Imran, A Khan, S Din, A Ahmad, ... The Journal of Supercomputing 74, 5003-5021, 2018 | 28 | 2018 |
| Security and privacy issues in fog computing A Ali, M Ahmed, M Imran, HA Khattak Fog Computing: Theory and Practice, 105-137, 2020 | 24 | 2020 |
| Data quality techniques in the internet of things: Random forest regression MM Farooqi, HA Khattak, M Imran 2018 14th International Conference on Emerging Technologies (ICET), 1-4, 2018 | 17 | 2018 |
| Degraded image enhancement by image dehazing and Directional Filter Banks using Depth Image based Rendering for future free-view 3D-TV IU Afridi, T Bashir, HA Khattak, TM Khan, M Imran Plos one 14 (5), e0217246, 2019 | 9 | 2019 |
| An attention-based ResNet architecture for acute hemorrhage detection and classification: Toward a Health 4.0 digital twin study A Hussain, MU Yaseen, M Imran, M Waqar, A Akhunzada, M Al-Ja’afreh, ... IEEE Access 10, 126712-126727, 2022 | 5 | 2022 |
| Malware Detection in Android IoT Systems Using Deep Learning M Waqar, S Fareed, A Kim, SUR Malik, M Imran, MU Yaseen CMC—Comput. Mater. Contin 74, 4399-4415, 2023 | 4 | 2023 |
| Towards smart utility monitoring and management R Kumar, K Khatri, M Imran, HA Khattak 2019 2nd International Conference on Communication, Computing and Digital …, 2019 | 4 | 2019 |
| Calculating trust using multiple heterogeneous social networks M Imran, HA Khattak, D Millard, T Tiropanis, T Bashir, G Ahmed Wireless Communications and Mobile Computing 2020, 1-14, 2020 | 3 | 2020 |
| OBAC: towards agent-based identification and classification of roles, objects, permissions (ROP) in distributed environment S Aslam, M Ahmed, I Ahmed, A Khan, A Ahmad, M Imran, A Anjum, ... Multimedia Tools and Applications 79, 34363-34384, 2020 | 2 | 2020 |
| Maintaining Fog Trust Through Continuous Assessment HA Khattak, M Imran, A Abbas, SU Khan Services–SERVICES 2019: 15th World Congress, Held as Part of the Services …, 2019 | 2 | 2019 |
| A transfer learning approach for facial paralysis severity detection W Ali, M Imran, MU Yaseen, K Aurangzeb, N Ashraf, S Aslam IEEE Access, 2023 | 1 | 2023 |
| The impact of consolidating web based social networks on trust metrics and expert recommendation systems M Imran University of Southampton, 2015 | 1 | 2015 |
| LPN-IDD: A Lightweight Pyramid Network for Image Deraining and Detection K Babar, MU Yaseen, AS Al-Shamayleh, M Imran, AH Al-Ghushami, ... IEEE Access, 2024 | | 2024 |
| A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification. MN Akram, MU Yaseen, M Waqar, M Imran, A Hussain Computers, Materials & Continua 76 (3), 2023 | | 2023 |
| Dataset for Four-Wave Mixing UV Generation in Optical Microfibers A Khudus, IM Muhammad, F DE LUCIA, C CORBARI, T Lee, P Horak, ... University of Southampton, 2016 | | 2016 |
| Dataset for All-fiber fourth and fifth harmonic generation from a single source A Khudus, IM Muhammad, T Lee, F DE LUCIA, P Horak, C CORBARI, ... University of Southampton, 2016 | | 2016 |
| Dataset for Four-Wave-Mixing Enhancement in Optical Microfibers F De Lucia, A Khudus, IM Muhammad, C CORBARI, T Lee, PJ Sazio, ... University of Southampton, 2015 | | 2015 |
Thanassis TiropanisUniversity of SouthamptonVerified email at ecs.soton.ac.uk
