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ORCIDShaymaa E. Sorour
Person information
- affiliation: King Faisal University, School of Business, Department of Management Information Systems, Al Hofuf, Saudi Arabia
- affiliation: Kafrelsheikh University, Faculty of Specific Education, Kafr El-Sheikh, Egypt
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2020 – today
- 2026
[j14]Ala Saleh Alluhaidan, Amani K. Samha, Mohammed Maray, Abdulbasit A. Darem
, Mukhtar Ghaleb, Shaymaa E. Sorour, Hamad Almansour:
Towards an automatic assessment of dysarthria-based neurological disorder detection using an ensemble of recurrent neural networks in biomedical data. Biomed. Signal Process. Control. 118: 109550 (2026)- [j13]Shaymaa E. Sorour, Shorouk E. El-Deep, Abdulrahman Alojail, Samir A. Kahouf:
Security risk management in the digital enterprise: enhancing cyber defense with large language models. J. Big Data 13(1): 101 (2026) - 2024
- [j12]Mohammed Aljaafari, Shorouk E. El-Deep, Amr A. Abohany, Shaymaa E. Sorour:
Integrating Innovation in Healthcare: The Evolution of "CURA's" AI-Driven Virtual Wards for Enhanced Diabetes and Kidney Disease Monitoring. IEEE Access 12: 126389-126414 (2024) - [j11]Hosnia M. M. Ahmed, Shaymaa E. Sorour:
Classification-driven intelligent system for automated evaluation of higher education exam paper quality. Educ. Inf. Technol. 29(15): 19835-19861 (2024) - [j10]Shaymaa E. Sorour, Abeer A. Wafa, Amr A. Abohany, Reda M. Hussien:
A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image. Int. J. Intell. Syst. 2024: 1-38 (2024) - [j9]Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. AlBarrak, Abdulrahman Khalid Alnaim, Abeer A. Wafa, Engy A. El-Shafeiy:
Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101940 (2024) - [j8]Sarah A. Alzakari, Nuha Alruwais, Shaymaa E. Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed:
A big data analysis algorithm for massive sensor medical images. PeerJ Comput. Sci. 10: e2464 (2024) - [j7]Khalied M. AlBarrak, Shaymaa E. Sorour:
Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions. Syst. 12(11): 475 (2024) - 2023
- [j6]Shaymaa E. Sorour, Amr A. Abohany, Mohamed S. Elredeny, Ahmed Sedik, Reda M. Hussien:
An Automatic Dermatology Detection System Based on Deep Learning and Computer Vision. IEEE Access 11: 137769-137778 (2023) - 2022
- [j5]Hanan E. Abdelkader, Ahmed G. Gad, Amr A. Abohany, Shaymaa E. Sorour:
An Efficient Data Mining Technique for Assessing Satisfaction Level With Online Learning for Higher Education Students During the COVID-19. IEEE Access 10: 6286-6303 (2022) - [j4]Shaymaa E. Sorour, Hanan E. Abdelkader, Karam M. Sallam, Ripon K. Chakrabortty, Michael J. Ryan, Amr A. Abohany:
An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 5979-5997 (2022)
2010 – 2019
- 2017
- [j3]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons. J. Educ. Technol. Soc. 20(1): 73-86 (2017) - 2016
- [c13]Shaymaa E. Sorour, Tsunenori Mine:
Exploring students' learning attributes in consecutive lessons to improve prediction performance. ACSW 2016: 2 - [c12]Shaymaa E. Sorour, Shaymaa Abd El Rahman, Tsunenori Mine:
Teacher interventions to enhance the quality of student comments and their effect on prediction performance. FIE 2016: 1-9 - [c11]Shaymaa E. Sorour, Shaimaa Abd El Rahman, Samir A. Kahouf, Tsunenori Mine:
Understandable Prediction Models of Student Performance Using an Attribute Dictionary. ICWL 2016: 161-171 - [c10]Shaymaa E. Sorour, Tsunenori Mine:
Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining. IIAI-AAI 2016: 285-291 - 2015
- [j2]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
A Predictive Model to Evaluate Student Performance. J. Inf. Process. 23(2): 192-201 (2015) - [j1]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques. J. Inf. Process. 23(6): 784-794 (2015) - [c9]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Student Performance Estimation Based on Topic Models Considering a Range of Lessons. AIED 2015: 790-793 - [c8]Jingyi Luo, Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda:
Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons. EDM 2015: 396-399 - [c7]Shaymaa E. Sorour, Jingyi Luo, Kazumasa Goda, Tsunenori Mine:
Correlation of Grade Prediction Performance with Characteristics of Lesson Subject. ICALT 2015: 247-249 - [c6]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Estimation of Student Performance by Considering Consecutive Lessons. IIAI-AAI 2015: 121-126 - [c5]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Correlation of Topic Model and Student Grades Using Comment Data Mining. SIGCSE 2015: 441-446 - 2014
- [c4]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Efficiency of LSA and K-means in Predicting Students' Academic Performance Based on Their Comments Data. CSEDU (1) 2014: 63-74 - [c3]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Predicting students' grades based on free style comments data by artificial neural network. FIE 2014: 1-9 - [c2]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Prediction of Students' Grades Based on Free-Style Comments Data. ICWL 2014: 142-151 - [c1]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Comments Data Mining for Evaluating Student's Performance. IIAI-AAI 2014: 25-30
Coauthor Index
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last updated on 2026-07-06 02:52 CEST by the dblp team
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