| Epileptic seizures prediction using machine learning methods SM Usman, M Usman, S Fong Computational and mathematical methods in medicine 2017 (1), 9074759, 2017 | 208 | 2017 |
| Epileptic seizures prediction using deep learning techniques SM Usman, S Khalid, MH Aslam Ieee Access 8, 39998-40007, 2020 | 163 | 2020 |
| 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 | 100 | 2021 |
| Epileptic seizure prediction using scalp electroencephalogram signals SM Usman, S Khalid, Z Bashir Biocybernetics and Biomedical Engineering 41 (1), 211-220, 2021 | 84 | 2021 |
| 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 | 75 | 2019 |
| Classification of agriculture farm machinery using machine learning and internet of things M Waleed, TW Um, T Kamal, SM Usman Symmetry 13 (3), 403, 2021 | 35 | 2021 |
| Efficient Prediction and Classification of Epileptic Seizures Using EEG Data Based on Univariate Linear Features. SM Usman, A Hassan J. Comput. 13 (6), 616-621, 2018 | 26 | 2018 |
| A Deep Learning‐Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks M Naveed, F Arif, SM Usman, A Anwar, M Hadjouni, H Elmannai, ... Wireless Communications and Mobile Computing 2022 (1), 2215852, 2022 | 23 | 2022 |
| Wildfire detection in aerial images using deep learning HUA Tahir, A Waqar, S Khalid, SM Usman 2022 2nd International Conference on Digital Futures and Transformative …, 2022 | 21 | 2022 |
| Principle components analysis for seizures prediction using wavelet transform SM Usman, S Latif, A Beg arXiv preprint arXiv:2004.07937, 2020 | 21 | 2020 |
| Malware detection in internet of things (IoT) devices using deep learning S Riaz, S Latif, SM Usman, SS Ullah, AD Algarni, A Yasin, A Anwar, ... Sensors 22 (23), 9305, 2022 | 20 | 2022 |
| Classification of EEG signals for prediction of epileptic seizures MH Aslam, SM Usman, S Khalid, A Anwar, R Alroobaea, S Hussain, ... Applied Sciences 12 (14), 7251, 2022 | 19 | 2022 |
| An ensemble model for consumer emotion prediction using EEG signals for neuromarketing applications SMA Shah, SM Usman, S Khalid, IU Rehman, A Anwar, S Hussain, ... Sensors 22 (24), 9744, 2022 | 15 | 2022 |
| Next generation a secure e-voting system based on biometric fingerprint method K Memon, D Kumar, S Usman International Conference on Information and Intelligent Computing (IPCSIT …, 2011 | 13 | 2011 |
| Exploring lightweight deep learning solution for malware detection in IoT constraint environment AR Khan, A Yasin, SM Usman, S Hussain, S Khalid, SS Ullah Electronics 11 (24), 4147, 2022 | 10 | 2022 |
| Detection of preictal state in epileptic seizures using ensemble classifier SM Usman, S Khalid, S Jabbar, S Bashir Epilepsy Research 178, 106818, 2021 | 10 | 2021 |
| An ensemble learning method for emotion charting using multimodal physiological signals AW Awan, SM Usman, S Khalid, A Anwar, R Alroobaea, S Hussain, ... Sensors 22 (23), 9480, 2022 | 7 | 2022 |
| Intrusion detection in smart IoT devices for people with disabilities M Naveed, SM Usman, MI Satti, S Aleshaiker, A Anwar 2022 IEEE International Smart Cities Conference (ISC2), 1-5, 2022 | 7 | 2022 |
| A deep learning model for classification of EEG signals for neuromarketing SM Usman, SMA Shah, OC Edo, J Emakhu 2023 International conference on IT innovation and knowledge discovery …, 2023 | 6 | 2023 |
| Model Agnostic Meta-Learning (MAML)-Based Ensemble Model for Accurate Detection of Wheat Diseases Using Vision Transformer and Graph Neural Networks. Y Maqsood, SM Usman, M Alhussein, K Aurangzeb, S Khalid, M Zubair Computers, Materials & Continua 79 (2), 2024 | | 2024 |
