| Enhanced network anomaly detection based on deep neural networks S Naseer, Y Saleem, S Khalid, MK Bashir, J Han, MM Iqbal, K Han IEEE access 6, 48231-48246, 2018 | 439 | 2018 |
| Detection and classification of retinal lesions for grading of diabetic retinopathy MU Akram, S Khalid, A Tariq, SA Khan, F Azam Computers in biology and medicine 45, 161-171, 2014 | 324 | 2014 |
| Identification and classification of microaneurysms for early detection of diabetic retinopathy MU Akram, S Khalid, SA Khan Pattern recognition 46 (1), 107-116, 2013 | 320 | 2013 |
| Semantic interoperability in heterogeneous IoT infrastructure for healthcare S Jabbar, F Ullah, S Khalid, M Khan, K Han Wireless Communications and Mobile Computing 2017, 2017 | 194 | 2017 |
| Cyber security threats detection in internet of things using deep learning approach F Ullah, H Naeem, S Jabbar, S Khalid, MA Latif, F Al-Turjman, L Mostarda IEEE access 7, 124379-124389, 2019 | 183 | 2019 |
| Malware detection in industrial internet of things based on hybrid image visualization and deep learning model H Naeem, F Ullah, MR Naeem, S Khalid, D Vasan, S Jabbar, S Saeed Ad Hoc Networks 105, 102154, 2020 | 159 | 2020 |
| Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare F Ullah, MA Habib, M Farhan, S Khalid, MY Durrani, S Jabbar Sustainable cities and society 34, 90-96, 2017 | 158 | 2017 |
| Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space A Naftel, S Khalid Multimedia Systems 12, 227-238, 2006 | 136 | 2006 |
| Epileptic seizures prediction using deep learning techniques SM Usman, S Khalid, MH Aslam Ieee Access 8, 39998-40007, 2020 | 133 | 2020 |
| Content based image retrieval by using color descriptor and discrete wavelet transform R Ashraf, M Ahmed, S Jabbar, S Khalid, A Ahmad, S Din, G Jeon Journal of medical systems 42, 1-12, 2018 | 129 | 2018 |
| Images data practices for semantic segmentation of breast cancer using deep neural network L Ahmed, MM Iqbal, H Aldabbas, S Khalid, Y Saleem, S Saeed Journal of Ambient Intelligence and Humanized Computing, 1-17, 2020 | 111 | 2020 |
| Sentiment analysis and the complex natural language MT Khan, M Durrani, A Ali, I Inayat, S Khalid, KH Khan Complex Adaptive Systems Modeling 4 (1), 1-19, 2016 | 102 | 2016 |
| Detection of neovascularization in retinal images using multivariate m-Mediods based classifier MU Akram, S Khalid, A Tariq, MY Javed Computerized Medical Imaging and Graphics 37 (5-6), 346-357, 2013 | 92 | 2013 |
| IoT-based students interaction framework using attention-scoring assessment in eLearning M Farhan, S Jabbar, M Aslam, M Hammoudeh, M Ahmad, S Khalid, ... Future Generation Computer Systems 79, 909-919, 2018 | 89 | 2018 |
| Botdet: A system for real time botnet command and control traffic detection I Ghafir, V Prenosil, M Hammoudeh, T Baker, S Jabbar, S Khalid, S Jaf IEEE Access 6, 38947-38958, 2018 | 79 | 2018 |
| A deep learning based ensemble learning method for epileptic seizure prediction SM Usman, S Khalid, S Bashir Computers in Biology and Medicine 136, 104710, 2021 | 78 | 2021 |
| Utilization and load balancing in fog servers for health applications HA Khattak, H Arshad, G Ahmed, S Jabbar, AM Sharif, S Khalid EURASIP Journal on Wireless Communications and Networking 2019 (1), 1-12, 2019 | 77 | 2019 |
| Epileptic seizure prediction using scalp electroencephalogram signals SM Usman, S Khalid, Z Bashir Biocybernetics and Biomedical Engineering 41 (1), 211-220, 2021 | 65 | 2021 |
| Motion trajectory learning in the DFT-coefficient feature space A Naftel, S Khalid Fourth IEEE international conference on computer vision systems (ICVS'06), 47-47, 2006 | 65 | 2006 |
| Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies SM Usman, S Khalid, R Akhtar, Z Bortolotto, Z Bashir, H Qiu Seizure 71, 258-269, 2019 | 63 | 2019 |
Sohail Jabbar - Prof. of Computer Scie...Al Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudia ArabiaVerified email at imamu.edu.sa
