| A multi-biometric iris recognition system based on a deep learning approach AS Al-Waisy, R Qahwaji, S Ipson, S Al-Fahdawi, TAM Nagem Pattern Analysis and Applications 21, 783-802, 2018 | 220 | 2018 |
| A comparison of flare forecasting methods. II. Benchmarks, metrics, and performance results for operational solar flare forecasting systems KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal Supplement Series 243 (2), 36, 2019 | 113 | 2019 |
| A comparison of flare forecasting methods. III. Systematic behaviors of operational solar flare forecasting systems KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal 881 (2), 101, 2019 | 65 | 2019 |
| A comparison of flare forecasting methods. IV. Evaluating consecutive-day forecasting patterns SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ... The Astrophysical Journal 890 (2), 124, 2020 | 43 | 2020 |
| A multi-biometric iris recognition system based on a deep learning approach S Alaa, A Waisy, R Qahwaji, S Ipson, S Al‑Fahdawi, TAM Nagem Pattern. Anal. Appl 21, 783-802, 2018 | 16 | 2018 |
| Deep learning technology for predicting solar flares from (geostationary operational environmental satellite) data TAM Nagem, RSR Qahwaji, SS Ipson, Z Wang, AS Al-Waisy | 10 | 2018 |
| Automatic sunspots detection on SODISM solar images AF Alasta, A Algamudi, R Qahwaji, S Ipson, TA Nagern 2017 Seventh International Conference on Innovative Computing Technology …, 2017 | 7 | 2017 |
| Deep learning teachology for the prediction of solar flares from GOES data TAMH Nagem, R Qahwaji, S Ipson 2017 Computing Conference, 697-700, 2017 | 5 | 2017 |
| Predicting solar flares by converting goes x-ray data to gramian angular fields (GAF) images T Nagem, R Qahwaji, S Ipson, A Alasta Proceedings of the World Congress on Engineering 1, 2018 | 4 | 2018 |
| Al-Waisy, Rami Qahwaji, Stanley Ispon, Shumoos Al-Fahdawi & Tarek AM Nagem,“A multi-biometric iris recognition system based on a deep learning approach” S Alaa Journal of Pattern Analysis and Applications, 2018 | 2 | 2018 |
| Comparison Between Gramian Angular Fields (GAF) and Markov Transition Field (MTF) Images Data by Using them as Input to the Deep Learning Neural Network Solar Flare Production … TAMH Nagem, S Alshareef, A Mohamed, A Gihedan, S Albargathe 2022 International Conference on Engineering & MIS (ICEMIS), 1-5, 2022 | 1 | 2022 |
| Diabetes Mellitus Prediction Based on Machine Learning Techniques ES Omoora, HA Altaweil, T Nagem, KA Bozed 2023 IEEE 11th International Conference on Systems and Control (ICSC), 225-231, 2023 | | 2023 |
| Skin Cancer Detection by Using Deep Learning Approach M Alshalman, BF Gargoum, T Nagem, KA Bozed 2023 IEEE 11th International Conference on Systems and Control (ICSC), 1-7, 2023 | | 2023 |
| Evaluating the Veracity of News Through Machine Learning Algorithms G Meftah, M Aburas, T Nagem, KA Bozed 2023 IEEE 11th International Conference on Systems and Control (ICSC), 147-152, 2023 | | 2023 |
| The Leukemia Healthy and Unhealthy Detection with Wavelet Transform Based On Co-Occurrence Matrix and Support Vector Machine S Albargathe, A Gihedan, A Mohamed, MALİ MANSUR, TAM NAGEM, ... Avrupa Bilim ve Teknoloji Dergisi, 669-674, 2021 | | 2021 |
| Automated Prediction of Solar Flares Using SDO Data. The Development of An Automated Computer System for Predicting Solar Flares Based on SDO Satellite Data Using HMI Images … AK Abed University of Bradford, 2021 | | 2021 |
| Predictive Analytics Based on AutoML Email Spam Detection TAM Nagem, EH Alfsai, EK Elberkawi, F El-Deeb, S Albar-athe | | |
| A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-Day Forecasting Patterns View all abstracts by submitter SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ... | | |
