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Mohamed Elhoseny

Researcher at Mansoura University

Publications -  287
Citations -  11252

Mohamed Elhoseny is an academic researcher from Mansoura University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 49, co-authored 240 publications receiving 7044 citations. Previous affiliations of Mohamed Elhoseny include Maharaja Agrasen Institute of Technology & Cairo University.

Papers
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Journal ArticleDOI

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

Mohamed Elhoseny, +5 more
- 21 Mar 2018 - 
TL;DR: The proposed hybrid security model for securing the diagnostic text data in medical images proved its ability to hide the confidential patient’s data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.
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Feature selection based on artificial bee colony and gradient boosting decision tree

Haidi Rao, +7 more
- 01 Jan 2019 - 
TL;DR: Experimental results demonstrate that the proposed feature selection method effectively reduces the dimensions of the dataset and achieves superior classification accuracy using the selected features.
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The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems

Ashraf Darwish, +7 more
- 01 Oct 2019 - 
TL;DR: A comprehensive review of the current literature on integration of CC and IoT to solving various problems in healthcare applications such as smart hospitals, medicine control, and remote medical services and a new concept of the integration ofCC and IoT for healthcare applications, called the CloudIoT-Health paradigm is presented.
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A hybrid model of Internet of Things and cloud computing to manage big data in health services applications

Mohamed Elhoseny, +6 more
- 01 Sep 2018 - 
TL;DR: A new model to optimize virtual machines selection in cloud-IoT health services applications to efficiently manage a big amount of data in integrated industry 4.0 applications is proposed and outperforms on the state-of-the-art models in total execution time and the system efficiency.
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Genetic algorithm based model for optimizing bank lending decisions

Noura Metawa, +2 more
- 01 Sep 2017 - 
TL;DR: An intelligent model based on the Genetic Algorithm to organize bank lending decisions in a highly competitive environment with a credit crunch constraint (GAMCC), which provides a framework to optimize bank objectives when constructing the loan portfolio.