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Nora El-Rashidy
Nora El-Rashidy
Lecturer at machine learning and information retrieval department
ai.kfs.edu.eg의 이메일 확인됨
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End-to-end deep learning framework for coronavirus (COVID-19) detection and monitoring
N El-Rashidy, S El-Sappagh, SMR Islam, HM El-Bakry, S Abdelrazek
Electronics 9 (9), 1439, 2020
1132020
Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges
N El-Rashidy, S El-Sappagh, SMR Islam, H M. El-Bakry, S Abdelrazek
Diagnostics 11 (4), 607, 2021
1082021
Intensive care unit mortality prediction: An improved patient-specific stacking ensemble model
N El-Rashidy, S El-Sappagh, T Abuhmed, S Abdelrazek, HM El-Bakry
IEEE Access 8, 133541-133564, 2020
812020
Comprehensive survey of using machine learning in the COVID-19 pandemic
N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali, JW Hu, ...
Diagnostics 11 (7), 1155, 2021
602021
Different feature selection for sentiment classification
RM Elawady, S Barakat, NM Elrashidy
International Journal of Information Science and Intelligent System 3 (1 …, 2014
41*2014
Bayesian optimization with support vector machine model for parkinson disease classification
AM Elshewey, MY Shams, N El-Rashidy, AM Elhady, SM Shohieb, ...
Sensors 23 (4), 2085, 2023
352023
Exploring the effects of pandemics on transportation through correlations and deep learning techniques
SA Gamel, E Hassan, N El-Rashidy, FM Talaat
Multimedia tools and applications 83 (3), 7295-7316, 2024
322024
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
N El-Rashidy, T Abuhmed, L Alarabi, HM El-Bakry, S Abdelrazek, F Ali, ...
Neural Computing and Applications, 1-30, 2022
312022
A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network
N Ullah, JA Khan, S El-Sappagh, N El-Rashidy, MS Khan
Diagnostics 13 (1), 162, 2023
292023
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
N El-Rashidy, NE ElSayed, A El-Ghamry, FM Talaat
Soft Computing 26 (21), 11435-11450, 2022
192022
Breast cancer detection: a survey
E Hassan, FM Talaat, Z Hassan, N El-Rashidy
Artificial intelligence for disease diagnosis and prognosis in smart …, 2023
152023
Using rough set and ant colony optimization in feature selection
H Arafat, RM Elawady, S Barakat, NM Elrashidy
International Journal of Emerging Trends & Technology in Computer Science …, 2013
152013
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
N El-Rashidy, NE ElSayed, A El-Ghamry, FM Talaat
Neural Computing and Applications 35 (10), 7423-7442, 2023
142023
Sentiment analyzer for arabic comments
RM Elawady, S Barakat, ME Nora
International Journal of Information Science and Intelligent System 3 (4), 73-86, 2014
132014
Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning.
E Hassan, FM Talaat, S Adel, S Abdelrazek, A Aziz, Y Nam, N El-Rashidy
Computer Systems Science & Engineering 47 (2), 2023
122023
Polycystic ovary syndrome detection machine learning model based on optimized feature selection and explainable artificial intelligence
H Elmannai, N El-Rashidy, I Mashal, MA Alohali, S Farag, S El-Sappagh, ...
Diagnostics 13 (8), 1506, 2023
92023
Sentimentanalysis for Arabic and English datasets
R Elawady, S Barakat, N Elrashidy
International Journal of Intelligent Computing and Information Sciences 15 …, 2015
82015
Diagnosis of Covid-19 using chest X-ray images and disease symptoms based on stacking ensemble deep learning
A AlMohimeed, H Saleh, N El-Rashidy, RMA Saad, S El-Sappagh, ...
Diagnostics 13 (11), 1968, 2023
72023
Shaker El-Sappagh, Tamer Abuhmed, Samir Abdelrazek, Hazem M El-Bakry
N El-Rashidy
Intensive care unit mortality prediction: an improved patient-specific …, 2020
72020
Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
DM Alsekait, H Saleh, LA Gabralla, K Alnowaiser, S El-Sappagh, R Sahal, ...
Applied Sciences 13 (6), 3937, 2023
62023
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