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Nora El-Rashidy
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2020 – today
- 2024
- [j16]Arun Asif, Faheem Ahmed, Zeeshan, Javed Ali Khan, Eman Allogmani, Nora El-Rashidy, Sobia Manzoor, Muhammad Shahid Anwar:
Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma. IEEE Access 12: 37557-37571 (2024) - [j15]Wael Alosaimi, Hager Saleh, Ali A. Hamzah, Nora El-Rashidy, Abdullah Alharbi, Ahmed Elaraby, Sherif Mostafa:
ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory. Frontiers Artif. Intell. 7 (2024) - [j14]Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Nora El-Rashidy:
Optimizing poultry audio signal classification with deep learning and burn layer fusion. J. Big Data 11(1): 135 (2024) - [j13]Zainab Hassan Ali, Nora El-Rashidy, Mostafa A. Elhosseini, Sarah M. Ayyad:
SDN-based reliable emergency message routing schema using Digital Twins for adjusting beacon transmission in VANET. J. Netw. Comput. Appl. 230: 103944 (2024) - [j12]Samah A. Gamel, Esraa Hassan, Nora El-Rashidy, Fatma M. Talaat:
Exploring the effects of pandemics on transportation through correlations and deep learning techniques. Multim. Tools Appl. 83(3): 7295-7316 (2024) - [j11]Fatma M. Talaat, Zainab Hassan Ali, Reham R. Mostafa, Nora El-Rashidy:
Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children. Soft Comput. 28(9-10): 6695-6708 (2024) - [c2]Mostafa Abdelaziz Elhashmy, Mostafa Hamdalla, Nora El-Rashidy:
BACE1 Candidates Inhibitors for Alzheimer's Drug Discovery Using the Transformer-Only Decoder. NILES 2024: 581-584 - 2023
- [j10]Zohaib Ahmad Khan, Yuanqing Xia, Shahzad Ali, Javed Ali Khan, Sameh S. Askar, Mohamed Abouhawwash, Nora El-Rashidy:
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations. IEEE Access 11: 98787-98804 (2023) - [j9]Maali Alabdulhafith, Hager Saleh, Hela Elmannai, Zainab Hassan Ali, Shaker H. Ali El-Sappagh, Jong Wan Hu, Nora El-Rashidy:
A Clinical Decision Support System for Edge/Cloud ICU Readmission Model Based on Particle Swarm Optimization, Ensemble Machine Learning, and Explainable Artificial Intelligence. IEEE Access 11: 100604-100621 (2023) - [j8]Abdulaziz Almohimeed, Redhwan M. A. Saad, Sherif Mostafa, Nora El-Rashidy, Sarah Farrag, Abdelkareem Gaballah, Mohamed E. Abd Elaziz, Shaker H. Ali El-Sappagh, Hager Saleh:
Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer's Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers. IEEE Access 11: 123173-123193 (2023) - [j7]Zainab Hassan Ali, Noha A. Sakr, Nora El-Rashidy, Hesham A. Ali:
A reliable position-based routing scheme for controlling excessive data dissemination in vehicular ad-hoc networks. Comput. Networks 229: 109785 (2023) - [j6]Esraa Hassan, Fatma M. Talaat, Samah Adel Gamel, Samir Abdelrazek, Ahsan Aziz, Yunyoung Nam, Nora El-Rashidy:
Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning. Comput. Syst. Sci. Eng. 47(2): 1507-1525 (2023) - [j5]Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, Zainab Hassan Ali:
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural Comput. Appl. 35(14): 10695-10716 (2023) - [j4]Ahmed M. Elshewey, Mahmoud Y. Shams, Nora El-Rashidy, Abd Elghaffar M. Elhady, Samaa M. Shohieb, Zahraa Tarek:
Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification. Sensors 23(4): 2085 (2023) - [j3]Zainab Hassan Ali, John Zaki, Nora El-Rashidy:
Dynamic urban evaluation routing protocol for enhanced vehicle ad hoc networks. J. Supercomput. 79(6): 6017-6039 (2023) - [c1]Hager Saleh, Nora El-Rashidy, Tamer Abuhmed, Shaker H. Ali El-Sappagh:
LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores. NILES 2023: 1-6 - 2022
- [j2]Nora El-Rashidy, Tamer AbuHmed, Louai Alarabi, Hazem M. El-Bakry, Samir Abdelrazek, Farman Ali, Shaker H. Ali El-Sappagh:
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning. Neural Comput. Appl. 34(5): 3603-3632 (2022) - 2020
- [j1]Nora El-Rashidy, Shaker H. Ali El-Sappagh, Tamer AbuHmed, Samir Abdelrazek, Hazem M. El-Bakry:
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model. IEEE Access 8: 133541-133564 (2020)
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last updated on 2024-12-03 20:30 CET by the dblp team
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