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Mahmoud M. Selim

Researcher at Salman bin Abdulaziz University

Publications -  159
Citations -  3266

Mahmoud M. Selim is an academic researcher from Salman bin Abdulaziz University. The author has contributed to research in topics: Nanofluid & Nanomaterials. The author has an hindex of 22, co-authored 121 publications receiving 1414 citations. Previous affiliations of Mahmoud M. Selim include National Institute of Advanced Industrial Science and Technology & Suez University.

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Enhancement in Thermal Energy and Solute Particles Using Hybrid Nanoparticles by Engaging Activation Energy and Chemical Reaction over a Parabolic Surface via Finite Element Approach

TL;DR: In this article, the authors discussed the flow of Powell-Eyring fluid mixed with hybrid nanoparticles over a melting parabolic stretched surface and derived flow rheology expressions under boundary layer theory.
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Recent progress in marine foul-release polymeric nanocomposite coatings

TL;DR: Foul-release (FR) nanocoatings have been extensively investigated because of their non-stick, ecological, and economic advantages as mentioned in this paper, which deter any fouling attachment through physical anti-adhesion terminology.
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Deep learning model for real-time image compression in Internet of Underwater Things (IoUT)

TL;DR: This paper model and implement a discrete wavelet transform (DWT) based deep learning model for image compression in IoUT and validate DWT–CNN model using extensive set of experimentations and depict that it is superior to existing methods such as super-resolution convolutional neural networks (SRCNN), JPEG and JPEG2000 in terms of compression performance as well as reconstructed image quality.
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A local and global event sentiment based efficient stock exchange forecasting using deep learning

TL;DR: This study considers four countries- US, Hong Kong, Turkey, and Pakistan from developed, emerging and underdeveloped economies’ list and explores the effect of different major events occurred during 2012–2016 on stock markets.