| A new deep learning-based methodology for video deepfake detection using XGBoost A Ismail, M Elpeltagy, M S. Zaki, K Eldahshan Sensors 21 (16), 5413, 2021 | 64 | 2021 |
| Blockchain applications in human resources management: Opportunities and challenges D Salah, MH Ahmed, K ElDahshan proceedings of the 24th International Conference on Evaluation and …, 2020 | 57 | 2020 |
| Score level fusion for fingerprint, iris and face biometrics A Aboshosha, KA El Dahshan, EA Karam, EA Ebeid International Journal of Computer Applications 111 (4), 2015 | 33 | 2015 |
| Automatic evaluation technique for certain types of open questions in semantic learning systems E Elsayed, K Eldahshan, S Tawfeek Human-centric Computing and Information Sciences 3, 1-15, 2013 | 31 | 2013 |
| Big data visualization: A survey LT Mohammed, AAA AlHabshy, KA ElDahshan 2022 International Congress on Human-Computer Interaction, Optimization and …, 2022 | 29 | 2022 |
| Comparison of segmentation framework on digital microscope images for acute lymphoblastic leukemia diagnosis using RGB and HSV color spaces KA ElDahshan, MI Youssef, EH Masameer, MA Hassan Journal of Biomedical Engineering and Medical Imaging 2 (2), 26, 2015 | 26 | 2015 |
| Implementing constraint propagation in mechanical CAD systems K El Dahshan, JP Barthes Intelligent CAD Systems II, Implementational Issues, 217-227, 1989 | 22 | 1989 |
| Deepfake video detection: YOLO-Face convolution recurrent approach A Ismail, M Elpeltagy, M Zaki, KA ElDahshan PeerJ Computer Science 7, e730, 2021 | 19 | 2021 |
| An integrated spatiotemporal-based methodology for deepfake detection A Ismail, M Elpeltagy, MS Zaki, K Eldahshan Neural Computing and Applications 34 (24), 21777-21791, 2022 | 13 | 2022 |
| An efficient implementation of acute lymphoblastic leukemia images segmentation on the FPGA KA ElDahshan, MI Youssef, EH Masameer, MA Mustafa Advances in Image and Video Processing 3 (3), 8, 2015 | 12 | 2015 |
| Segmentation framework on digital microscope images for acute lymphoblastic leukemia diagnosis based on HSV Color Space KA Eldahshan, MI Youssef, EH Masameer, MA Mustafa International Journal of Computer Applications 90 (7), 2014 | 12 | 2014 |
| Enhancement semantic prediction big data method for covid-19: Onto-nosql K ElDahshan, EK Elsayed, H Mancy IAENG International Journal of Computer Science 47 (4), 613-622, 2020 | 11 | 2020 |
| Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data KA ElDahshan, AAA AlHabshy, GE Abutaleb PeerJ Computer Science 6, e297, 2020 | 11 | 2020 |
| Achieving stability in the round robin algorithm K ElDahshan, A Abd, N Ghazy International Journal of Computer Applications 172 (6), 15-20, 2017 | 11 | 2017 |
| Reverse engineering approach for improving the quality of mobile applications EK Elsayed, KA ElDahshan, EE El-Sharawy, NE Ghannam PeerJ Computer Science 5, e212, 2019 | 10 | 2019 |
| An ameliorated multiattack network anomaly detection in distributed big data system-based enhanced stacking multiple binary classifiers AA Alhabshy, BI Hameed, KA Eldahshan IEEE Access 10, 52724-52743, 2022 | 9 | 2022 |
| BC-HRM: A blockchain-based human resource management system utilizing smart contracts H Adel, M ElBakary, K ElDahshan, D Salah The International Conference on Deep Learning, Big Data and Blockchain (Deep …, 2022 | 9 | 2022 |
| Recognition of Facial Emotions Relying on Deep Belief Networks and Quantum Particle Swarm Optimization. KA El Dahshan, EK Elsayed, A Aboshoha, EA Ebeid International Journal of Intelligent Engineering & Systems 13 (4), 2020 | 9 | 2020 |
| Round Robin based scheduling algorithms, A comparative study K Eldahshan, A Abdelkader, N Ghazy Automatic Control and System Engineering Journal 17 (2), 29-42, 2017 | 9 | 2017 |
| EA Based Dynamic Key Generation in RC4 Ciphering Applied to CMS. A Aboshosha, KA ElDahshan, EK Elsayed, AA Elngar Int. J. Netw. Secur. 17 (4), 405-412, 2015 | 9 | 2015 |
Eman K. ElsayedAl-Azhar Univ.Verified email at azhar.edu.eg
