M
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
An efficient binary harris hawks optimization based on quantum SVM for cancer classification tasks
TL;DR: This work introduces a new hybrid quantum-kernel support vector machine (QKSVM) combined with a Binary Harris hawk optimization (BHHO)-based gene selection for cancer classification on a quantum simulator to improve the microarray cancer prediction performance with the quantum kernel estimation based on the informative genes by BHHO.
Journal ArticleDOI
Kernel learning for blind image recovery from motion blur
TL;DR: A method to iteratively estimate the structural image and account for the textural component is presented, which leverages L 0 -norm regularization to enforce the sparsity of the motion blur kernel in both intensity and derivative domains.
Journal ArticleDOI
Hybrid Computational Intelligence Algorithm for Autonomous Handling of COVID-19 Pandemic Emergency in Smart Cities
Mohamed Abdel-Basset,Khalid A. Eldrandaly,Laila A. Shawky,Mohamed Elhoseny,Nabil M. AbdelAziz +4 more
TL;DR: In this article, a hybrid Computational Intelligence (CI) algorithm called Moth-Flame Optimization and Marine Predators Algorithms (MOMPA) is proposed for planning the COVID-19 pandemic medical robot's path without collisions.
Journal ArticleDOI
Biomechanics of artificial intervertebral disc with different materials using finite element method
Lamia Nabil Omran,Lamia Nabil Omran,Kadry Ali Ezzat,Kadry Ali Ezzat,Mohamed Elhoseny,Mohamed Elhoseny,Aboul Ella Hassanien +6 more
TL;DR: Cobalt–chromium material is the most suitable material to be used in artificial spinal disc according to the maximum stress under an axial compression force of 300 N.
Book ChapterDOI
Multiple Share Creation with Optimal Hash Function for Image Security in WSN Aid of OGWO
K. Shankar,Mohamed Elhoseny +1 more
TL;DR: This chapter proposed an optimal private key and public key-based hash function for secret share security modeling and demonstrated better security, less computational time and the most extreme entropy with high PSNR values when compared with other techniques.