shaymaa adnan abdulrahman

Faculty: Business Informatics
Position: None
Title: Lecturer
Qualifications: Ph. D.
Email: dr.shaymaa.adnan@uoitc.edu.iq

   


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
1312023
Comparative study for 8 computational intelligence algorithms for human identificationþ
SA Abdulrahman, W Khalifa, M Roushdy, ABM Salemþ
Computer Science Review 36, 100237, 2020þ
512020
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
212020
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
142023
Innovative smart healthcare and bio-medical systems: AI, intelligent computing and connected technologiesþ
AB Salemþ
CRC Press, 2020þ
92020
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
92020
A dynamic task scheduling model for mobile cloud computingþ
ZA Jaaz, SA Abdulrahman, HM Mushgilþ
2022 9th International Conference on Electrical Engineering, Computer …, 2022þ
62022
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
62020
Intelligent clustering technique based on genetic algorithmþ
S Abdulrahman, MI Roushdy, ABM Salemþ
International Journal of Intelligent Computing and Information Sciences 21 …, 2021þ
52021
A survey of biometrics using electroencephalogram EEGþ
SA Abdulrahman, W Khalifa, M Roushdy, ABM Salemþ
Inf. Content Process 6, 2019þ
52019
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
52019
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
42019
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
32025
Comparison between alcoholic and control subjects in EEG signals using classification methodsþ
SA Abdulrahmanþ
J Mech Contin Math Sci 14 (4), 93-101, 2019þ
32019
Convolutional Neural Networks in Detection of Plant Diseasesþ
SA Abdulrahmanþ
(Humanities, social and applied sciences) Misan Journal of Academic Studies …, 2024þ
22024
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
22023
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
12020
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