Faculty: Business Informatics
Position: None
Title: Lecturer
Qualifications: Ph. D.
Email: [email protected]
| Title | Citation | Year |
|---|---|---|
| A comprehensive survey on the biometric systems based on physiological and behavioural characteristics� SA Abdulrahman, B Alhayani� Materials Today: Proceedings 80, 2642-2646, 2023� | 61 | 2023 |
| Comparative study for 8 computational intelligence algorithms for human identification� SA Abdulrahman, W Khalifa, M Roushdy, ABM Salem� Computer Science Review 36, 100237, 2020� | 33 | 2020 |
| A efficient deep belief network for Detection of Corona Virus Disease COVID-19� SA Abdulrahman, ABM Salem� Fusion Pract. Appl 2 (1), 05-13, 2020� | 12 | 2020 |
| Support vector machine approach for human identification based on EEG signals� S Abdulrahman, M Roushdy, ABM Salem� Journal of Mechanics of Continua and Mathematical Sciences 15 (2), 2020� | 8 | 2020 |
| Innovative smart healthcare and bio-medical systems: AI, intelligent computing and connected technologies� AB Salem� CRC Press, 2020� | 7 | 2020 |
| Comparison between alcoholic and control subjects in EEG signals using classification methods� SA Abdulrahman� J Mech Contin Math Sci 14 (4), 93-101, 2019� | 3 | 2019 |
| A survey of biometrics using electroencephalogram EEG� SA Abdulrahman, W Khalifa, M Roushdy, ABM Salem� International Journal of Information Content and Processing 6, 18-33, 2019� | 3 | 2019 |
| Coronavirus Classification using Deep Convolutional Neural Network, Models. and Chest, X-ray images� SA Abdulrahman, M Roushdy, ABM Salem� Iraqi Journal for Computers and Informatics 49 (1), 84-90, 2023� | 2 | 2023 |
| Intrusion detection in wireless body area network using attentive with graphical bidirectional long-short term memory� S Abdulrahman, E Ahmed, Z Jaaz, A Ali� Int. J. Online Biomed. Eng. 19, 31-46, 2023� | 2 | 2023 |
| Human Identification based on electroencephalography signals using sample entropy and horizontal visibility graphs� SA Abdulrahman, M Roushdy, ABM Salem� WSEAS Transactions on Signal Processing 15, 47-54, 2019� | 2 | 2019 |
| Overview of acquisition techniques brain signals in human identification and disease diagnosis: Applications and challenges� S Abdulrahman, M Roushdy, ABM Salem� TEST Engineering & Management 83, 10564-10575, 2020� | 1 | 2020 |
| Identification and Prediction of Kidney Diseases by using machine learning Techniques� shaymaa adnan abdulrahman abdel-Badeeh M.Salem� Journal of Positive Sciences(JPS), 1-9, 2023� | 2023 | |
| A dynamic task scheduling model for mobile cloud computing� ZA Jaaz, SA Abdulrahman, HM Mushgil� 2022 9th International Conference on Electrical Engineering, Computer��, 2022� | 2022 | |
| 12 ComputationalIntelligencein� SA Abdulrahman, ABM Salem� Innovative Smart Healthcare and Bio-Medical Systems: AI, Intelligent��, 2020� | 2020 | |
| Computational Intelligence in the Identification of COVID-19 Patients� SA Abdulrahman, ABM Salem� Innovative Smart Healthcare and Bio-Medical Systems, 229-243, 2020� | 2020 | |
| Convolution neural network models to detect COVID-19� SA Abdulrahman, ABM Salem� | ||
| COMPARATIVE STUDY OF COMPUTATIONAL INTELLIGENCE PARADIGMS FOR INTELLIGENT ACCESS CONTROL BASED ON BIOMETRICS METHODOLOGIES� SA Abdulrahman, M Roushdy, ABM Salem� | ||
| A Review on Concept of Object Detection Techniques� RA Jaafar, WA Jbara, SA Abdulrahman� |
