shaymaa adnan abdulrahman

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
662023
Comparative study for 8 computational intelligence algorithms for human identification
SA Abdulrahman, W Khalifa, M Roushdy, ABM Salem
Computer Science Review 36, 100237, 2020
362020
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
122020
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
92020
Innovative smart healthcare and bio-medical systems: AI, intelligent computing and connected technologies
AB Salem
CRC Press, 2020
72020
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
42019
Comparison between alcoholic and control subjects in EEG signals using classification methods
SA Abdulrahman
J Mech Contin Math Sci 14 (4), 93-101, 2019
32019
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
22023
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
22023
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
22019
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
12020
A Review on Concept of Object Detection Techniques
RA Jaafar, WA Jbara, SA Abdulrahman
1
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