Magdi El Bannany

Orcid: 0000-0001-8795-3661

According to our database1, Magdi El Bannany authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The effect of financial risks on the performance of Islamic and commercial banks in UAE.
Frontiers Appl. Math. Stat., 2023

Air Traffic Data Analysis Using Recurrent Neural Network (RNN) Classifier During COVID-19.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Leveraging Enhanced Manta-Ray Foraging Optimization with Deep Learning for Maize Diseases Image Classification.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

FDCN-ML: Forecasting Directional Changes in the NASDAQ Market using Machine Learning.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

2022
Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA.
Proceedings of the 6th International Conference on Future Networks & Distributed Systems, 2022

FDP-GAMLP: New Financial Distress Prediction Technique based on Genetic Algorithm and Multi-Layer Perceptron.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Cryptocurrency price prediction using traditional statistical and machine-learning techniques: A survey.
Intell. Syst. Account. Finance Manag., 2021

Using a Hybrid-Classification Method to Analyze Twitter Data During Critical Events.
IEEE Access, 2021

Prediction of Financial Statement Fraud using Machine Learning Techniques in UAE.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
A Multi-Layer Perceptron Approach to Financial Distress Prediction with Genetic Algorithm.
Autom. Control. Comput. Sci., 2020

A Comparative Analysis of Machine Learning Classifiers and Ensemble Techniques in Financial Distress Prediction.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020


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