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Sherif Barakat on Muck Rack

Sherif Barakat

As seen in: Nature, Journal of Retailing and Consumer Services, International Journal of Electronic Business
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Articles

Integrating macroeconomic and technical indicators into forecasting the stock market: a hybrid approach for efficient feature selection

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By Aya Nabil, Sherif Barakat, Sara Elhishi, Ahmed Aboelfetouh
| Nature Verified
Abstract Stock market prediction is a significant research topic in the financial sector and has been widely investigated by researchers and investors. Forecasting stock markets is challenging because of the nonlinearity, volatility, and dynamics of the data. Additionally, stock markets are affected by various internal and external factors. While most previous studies relied on historical prices and technical indicators (TIs), they ignored the influence of overall economic factors on stock markets.
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Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer

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By Sherif Barakat, Emad T. Elkabbash, Reham R. Mostafa
| PLOS
Loading metrics Open Access Peer-reviewed Research Article Emad T. Elkabbash , Reham R. Mostafa , Sherif I. Barakat Emad T. Elkabbash, Reham R. Mostafa, Sherif I. Barakat Published: November 19, 2021 https://doi.org/10.1371/journal.pone.0260232 Figures Abstract Smartphone usage is nearly ubiquitous worldwide, and Android provides the leading open-source operating system, retaining the most significant market share and active user population of all open-source operating systems.
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linking academia, business and industry through research

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By Nora Shoaip, Shaker El-Sappagh, Sherif Barakat, Mohammed Elmogy
| International Journal of Electronic Business Verified
Home Full-text access for editors A framework for disease diagnosis based on fuzzy semantic ontology approach by Nora Shoaip; Shaker El-Sappagh; Sherif Barakat; Mohammed Elmogy International Journal of Medical Engineering and Informatics (IJMEI), Vol. 12, No. 5, 2020 Abstract: In this paper, we propose an OWL2 ontology based on SNOMED CT standard medical terminology. It can provide significant help to support physicians in diabetes risk level diagnosis problem.
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