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Eman Ahmed
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2020 – today
- 2024
- [j4]Mona M. Soliman, Eman Ahmed, Ashraf Darwish, Aboul Ella Hassanien:
Artificial intelligence powered Metaverse: analysis, challenges and future perspectives. Artif. Intell. Rev. 57(2): 36 (2024) - [j3]Dalia Ezzat, Eman Ahmed, Mona M. Soliman, Aboul Ella Hassanien:
An interpretable Bayesian deep learning-based approach for sustainable clean energy. Neural Comput. Appl. 36(27): 17145-17163 (2024) - 2023
- [c7]Eman Ahmed, Heba Nashaat, Rawya Rizk:
Machine Learning for Fog Computing: Perceiving QoE for IoT Applications. AISI 2023: 482-496 - 2020
- [j2]Heba Nashaat, Eman Ahmed, Rawya Rizk:
IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing Environment. IEEE Access 8: 111253-111264 (2020)
2010 – 2019
- 2019
- [c6]Eman Ahmed, Reda A. El-Khoribi, Alexandre Muzy, Gilles Bernot, Gamal Darwish:
Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models. ICPRAM 2019: 605-612 - 2018
- [c5]Alexandre Saint, Eman Ahmed, Abd El Rahman Shabayek, Kseniya Cherenkova, Gleb Gusev, Djamila Aouada, Björn E. Ottersten:
3DBodyTex: Textured 3D Body Dataset. 3DV 2018: 495-504 - [i2]Eman Ahmed, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, Björn E. Ottersten:
Deep Learning Advances on Different 3D Data Representations: A Survey. CoRR abs/1808.01462 (2018) - 2017
- [j1]Eman Ahmed, Amin A. Sorrour, Mohammed Ali Sobh, Ayman M. Bahaa Eldin:
A Cloud-based Malware Detection Framework. Int. J. Interact. Mob. Technol. 11(2): 113-127 (2017) - 2016
- [c4]Eman H. Ahmed, Mohamed Moustafa:
House Price Estimation from Visual and Textual Features. IJCCI (NCTA) 2016: 62-68 - [i1]Eman Ahmed, Mohamed Moustafa:
House price estimation from visual and textual features. CoRR abs/1609.08399 (2016) - 2014
- [c3]Eman Ahmed, Ali Ahmed, Mohie Hadhoud:
A robust framework for object tracking based on corrected background-weighted histogram mean shift and unscented Kalman filter. IPAS 2014: 1-6 - 2010
- [c2]Eman Ahmed, Neamat El Gayar, Iman A. El Azab:
Support Vector Machine ensembles using features distribution among subsets for enhancing microarray data classification. ISDA 2010: 1242-1246
2000 – 2009
- 2009
- [c1]Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab:
Fuzzy Gaussian Process Classification Model. ICIAR 2009: 369-376
Coauthor Index
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last updated on 2024-12-10 20:44 CET by the dblp team
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