| Title | Citation | Year |
|---|---|---|
| A comprehensive survey on the biometric systems based on physiological and behavioural characteristicsþ SA Abdulrahman, B Alhayaniþ Materials Today: Proceedings 80, 2642-2646, 2023þ | 131 | 2023 |
| Comparative study for 8 computational intelligence algorithms for human identificationþ SA Abdulrahman, W Khalifa, M Roushdy, ABM Salemþ Computer Science Review 36, 100237, 2020þ | 51 | 2020 |
| A efficient deep belief network for Detection of Corona Virus Disease COVID-19þ SA Abdulrahman, ABM Salemþ Fusion Pract. Appl 2 (1), 05-13, 2020þ | 21 | 2020 |
| Intrusion Detection in Wireless Body Area Network using Attentive with Graphical Bidirectional Long-Short Term Memory.þ SA Abdulrahman, EQ Ahmed, ZA Jaaz, RA Alya'aþ Int. J. Online Biomed. Eng. 19 (6), 31-46, 2023þ | 14 | 2023 |
| Innovative smart healthcare and bio-medical systems: AI, intelligent computing and connected technologiesþ AB Salemþ CRC Press, 2020þ | 9 | 2020 |
| Support vector machine approach for human identification based on EEG signalsþ S Abdulrahman, M Roushdy, ABM Salemþ J Mech Contin Math Sci 15 (2), 270-280, 2020þ | 9 | 2020 |
| A dynamic task scheduling model for mobile cloud computingþ ZA Jaaz, SA Abdulrahman, HM Mushgilþ 2022 9th International Conference on Electrical Engineering, Computer …, 2022þ | 6 | 2022 |
| Detection and classification of alcoholics using electroencephalogram signal and support vector machineþ A SH, RA Jaafarþ FUSION: PRACTICE AND APPLICATIONS Учредители: American Scientific Publishing …, 2020þ | 6 | 2020 |
| Intelligent clustering technique based on genetic algorithmþ S Abdulrahman, MI Roushdy, ABM Salemþ International Journal of Intelligent Computing and Information Sciences 21 …, 2021þ | 5 | 2021 |
| A survey of biometrics using electroencephalogram EEGþ SA Abdulrahman, W Khalifa, M Roushdy, ABM Salemþ Inf. Content Process 6, 2019þ | 5 | 2019 |
| A review on concept of object detection techniquesþ RA Jaafar, WA Jbara, SA Abdulrahmanþ International Journal of Computer Trends and Technology (IJCTT)–Vol 67, 2019þ | 5 | 2019 |
| Human identification based on electroencephalography signals using sample entropy and horizontal visibility graphsþ SA Abdulrahman, M Roushdy, AB Salemþ WSEAS Trans. Signal Process 15, 2224-3488, 2019þ | 4 | 2019 |
| Models of Machine Learning to Diagnose Chronic Kidney disease using a WEKA-based Classifierþ SA Abdulrahman, SF Khlebisþ Mesopotamian Journal of Artificial Intelligence in Healthcare 2025, 39-47, 2025þ | 3 | 2025 |
| Comparison between alcoholic and control subjects in EEG signals using classification methodsþ SA Abdulrahmanþ J Mech Contin Math Sci 14 (4), 93-101, 2019þ | 3 | 2019 |
| Convolutional Neural Networks in Detection of Plant Diseasesþ SA Abdulrahmanþ (Humanities, social and applied sciences) Misan Journal of Academic Studies …, 2024þ | 2 | 2024 |
| Coronavirus classification using deep convolutional neural network, models. and chest, x-ray imagesþ SA Abdulrahman, M Roushdy, ABM Salemþ Iraqi Journal for Computers and Informatics 49 (1), 84-90, 2023þ | 2 | 2023 |
| Overview of acquisition techniques brain signals in human identification and disease diagnosis: Applications and challengesþ S Abdulrahman, M Roushdy, ABM Salemþ TEST Engineering & Management 83, 10564-10575, 2020þ | 1 | 2020 |
| A proposed network of an effective deep belief for the recognition of Alzheimerþ SA Abdulrahmanþ Journal of Kerbala University 21 (2), 2024þ | 2024 | |
| An Overview of Techniques for Various Image Segmentationþ SA Abdulrahman, M Roushdy, ABM Salemþ Journal of Kerbala University 21 (2), 2024þ | 2024 | |
| Identification and Prediction of Kidney Diseases by using machine learning Techniquesþ shaymaa adnan abdulrahman abdel-Badeeh M.Salemþ Journal of Positive Sciences(JPS), 1-9, 2023þ | 2023 |