Výsledky vyhledávání - "Abdullah Shawan Alotaibi"

Akademický článek

m-BRe: New Variants for the Backward Replacement Approach to Enhance the Compression Capabilities of the Forward Greedy Pursuit

Autor: A. N. Omara, Abdullah Shawan Alotaibi

Publikováno v: IEEE Access, Vol 12, Pp 138646-138662 (2024)

This paper introduces two variants of the backward replacement approach, T-BRe and H-BRe, aimed at enhancing the compression capabilities of forward greedy pursuit algorithms. The effectiveness of these methods is evaluated using three greedy pursuit

Externí odkaz: https://doaj.org/article/81fc80862fa74d2b97623a7b8af979f9

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Akademický článek

GLOBE: A novel pruning-based sparse modeling with application to time series data representation

Autor: A.N. Omara, Abdullah Shawan Alotaibi

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101800- (2023)

In the past years, Sparse Modeling (SM) has been used in a variety of applications, such as data representation. In this type of data modeling, the data is divided into small segments, and each one is processed independently using SM techniques to fi

Externí odkaz: https://doaj.org/article/085d422224794e738a8f2c6dea902b1e

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Akademický článek

A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder

Autor: Abdullah Shawan Alotaibi

Publikováno v: IET Circuits, Devices and Systems, Vol 15, Iss 3, Pp 224-236 (2021)

Abstract Cybersecurity is a major concern in the network resources of the Internet of Things (IoT) environment, as the attacks on the IoT devices degrade the performance of the computational operations. Various attack detection methods are adopted in

Externí odkaz: https://doaj.org/article/fdae73c523df41008383db2ee82f5e0a

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Akademický článek

Molecular Property Prediction of Modified Gedunin Using Machine Learning

Autor: Mohammed Aly, Abdullah Shawan Alotaibi

Publikováno v: Molecules, Vol 28, Iss 3, p 1125 (2023)

Images of molecules are often utilized in education and synthetic exploration to predict molecular characteristics. Deep learning (DL) has also had an influence on drug research, such as the interpretation of cellular images as well as the developmen

Externí odkaz: https://doaj.org/article/ccf45a725f9d47919def8194afbb616b

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Akademický článek

Biserial Miyaguchi–Preneel Blockchain-Based Ruzicka-Indexed Deep Perceptive Learning for Malware Detection in IoMT

Autor: Abdullah Shawan Alotaibi

Publikováno v: Sensors, Vol 21, Iss 21, p 7119 (2021)

Detection of unknown malware and its variants remains both an operational and a research challenge in the Internet of Things (IoT). The Internet of Medical Things (IoMT) is a particular type of IoT network which deals with communication through smart

Externí odkaz: https://doaj.org/article/9e092f9a5c0046a6afa3053587970f88

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The Performance Analysis and Security Aspects of Manet

Autor: Kranthi Singamaneni, Abdullah Shawan Alotaibi, Sri Vijaya K, Purnendu Shekhar Pandey

Publikováno v: ECS Transactions. 107:10945-10955

Mobile Ad hoc NETwork (MANET) is a type of network that is built by connecting a number of mobile devices together in a temporary manner through impermanent connections. Through broadcasting, the information should be distributed to all nodes in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bad9138a0fb647722aae2a2ee07a16d0
https://doi.org/10.1149/10701.10945ecst

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