| Applications of big data analytics to control COVID-19 pandemic SJ Alsunaidi, AM Almuhaideb, NM Ibrahim, FS Shaikh, KS Alqudaihi, ... Sensors 21 (7), 2282, 2021 | 143 | 2021 |
| Fake detect: A deep learning ensemble model for fake news detection N Aslam, I Ullah Khan, FS Alotaibi, LA Aldaej, AK Aldubaikil complexity 2021 (1), 5557784, 2021 | 133 | 2021 |
| Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients SS Aljameel, IU Khan, N Aslam, M Aljabri, ES Alsulmi Scientific programming 2021 (1), 5587188, 2021 | 113 | 2021 |
| Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities KS Alqudaihi, N Aslam, IU Khan, AM Almuhaideb, SJ Alsunaidi, ... Ieee Access 9, 102327-102344, 2021 | 106 | 2021 |
| A deep-learning-based framework for automated diagnosis of COVID-19 using X-ray images IU Khan, N Aslam Information 11 (9), 419, 2020 | 86 | 2020 |
| A deep learning-based approach for the detection of early signs of gingivitis in orthodontic patients using faster region-based convolutional neural networks DM Alalharith, HM Alharthi, WM Alghamdi, YM Alsenbel, N Aslam, ... International Journal of Environmental Research and Public Health 17 (22), 8447, 2020 | 72 | 2020 |
| Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities N Aslam, IU Khan, A Bashamakh, FA Alghool, M Aboulnour, ... Sensors 22 (20), 7856, 2022 | 60 | 2022 |
| Interpretable machine learning models for malicious domains detection using explainable artificial intelligence (XAI) N Aslam, IU Khan, S Mirza, A AlOwayed, FM Anis, RM Aljuaid, R Baageel Sustainability 14 (12), 7375, 2022 | 55 | 2022 |
| EEWMP: An IoT‐Based Energy‐Efficient Water Management Platform for Smart Irrigation R Ullah, AW Abbas, M Ullah, RU Khan, IU Khan, N Aslam, SS Aljameel Scientific Programming 2021 (1), 5536884, 2021 | 54 | 2021 |
| Remote diagnosis and triaging model for skin cancer using EfficientNet and extreme gradient boosting IU Khan, N Aslam, T Anwar, SS Aljameel, M Ullah, R Khan, A Rehman, ... Complexity 2021 (1), 5591614, 2021 | 53 | 2021 |
| An improved early student’s academic performance prediction using deep learning N Aslam, I Khan, L Alamri, R Almuslim International Journal of Emerging Technologies in Learning (iJET) 16 (12 …, 2021 | 50 | 2021 |
| Predicting student academic performance using support vector machine and random forest L H. Alamri, R S. Almuslim, M S. Alotibi, D K. Alkadi, I Ullah Khan, N Aslam Proceedings of the 2020 3rd International Conference on Education Technology …, 2020 | 49 | 2020 |
| A deep learning fusion approach to diagnosis the polycystic ovary syndrome (pcos) A Alamoudi, IU Khan, N Aslam, N Alqahtani, HS Alsaif, O Al Dandan, ... Applied Computational Intelligence and Soft Computing 2023 (1), 9686697, 2023 | 42 | 2023 |
| Predicting student academic performance at higher education using data mining: A systematic review SA Alwarthan, N Aslam, IU Khan Applied Computational Intelligence and Soft Computing 2022 (1), 8924028, 2022 | 39 | 2022 |
| An explainable model for identifying at-risk student at higher education S Alwarthan, N Aslam, IU Khan IEEE Access 10, 107649-107668, 2022 | 37 | 2022 |
| Computational intelligence-based model for mortality rate prediction in COVID-19 patients IU Khan, N Aslam, M Aljabri, SS Aljameel, MMA Kamaleldin, ... International journal of environmental research and public health 18 (12), 6429, 2021 | 37 | 2021 |
| E-triage systems for COVID-19 outbreak: Review and recommendations F Alhaidari, A Almuhaideb, S Alsunaidi, N Ibrahim, N Aslam, IU Khan, ... Sensors 21 (8), 2845, 2021 | 36 | 2021 |
| Using a deep learning model to explore the impact of clinical data on COVID-19 diagnosis using chest X-ray IU Khan, N Aslam, T Anwar, HS Alsaif, SMB Chrouf, NA Alzahrani, ... Sensors 22 (2), 669, 2022 | 32 | 2022 |
| A comparative study of decision tree and naive bayes machine learning model for crime category prediction in Chicago BS Aldossari, FM Alqahtani, NS Alshahrani, MM Alhammam, ... Proceedings of 2020 6th International Conference on Computing and Data …, 2020 | 32 | 2020 |
| Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells MALH Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah,Atheer ... Applied Computational Intelligence and Soft Computing, 2022 | 31 | 2022 |
Dr. Irfan Ullah KhanImam Abdulrahman Bin Faisal UniversityVerified email at iau.edu.sa
