Výsledky vyhledávání - "Rami M. Mohammad"

Akademický článek

Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT

Autor: Dhiaa Musleh, Meera Alotaibi, Fahd Alhaidari, Atta Rahman, Rami M. Mohammad

Publikováno v: Journal of Sensor and Actuator Networks, Vol 12, Iss 2, p 29 (2023)

With the continuous increase in Internet of Things (IoT) device usage, more interest has been shown in internet security, specifically focusing on protecting these vulnerable devices from malicious traffic. Such threats are difficult to distinguish,

Externí odkaz: https://doaj.org/article/6c9ebd296265472b8804d4a1a0d65587

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Machine Learning Models Towards Prediction of COVID and Non-COVID 19 Patients in the Hospital’s Intensive Care Units (ICU)

Autor: Mohammed Gollapalli, Sheriff A. Kudos, Mustafa A. Alhamad, Abdullah A. Alshehri, Hamad S. Alyemni, Mustafa O. Alali, Rami M. Mohammad, Mohammad Aftab Alam Khan, Mamoun M. Abdulqader, Khalid M. Aloup

Publikováno v: Mathematical Modelling of Engineering Problems. 9:1471-1480

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f492052d1026c92c65ac72f9ac5204e2
https://doi.org/10.18280/mmep.090605

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Modeling Algorithms for Task Scheduling in Cloud Computing Using CloudSim

Autor: Mohammed Gollapalli, Abrar Alamoudi, Arwa Aldossary, Arwa Alqarni, Sarah Alwarthan, Yousof Z. AlMunsour, Mamoun M. Abdulqader, Rami M. Mohammad, Sghaier Chabani

Publikováno v: Mathematical Modelling of Engineering Problems. 9:1201-1209

As the number of cloud users are spontaneously growing globally, there is an urgent need to constantly provide quality services to consumers. Consequently, task scheduling plays an essential role in improving the performance of the cloud computing en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f500bdef1e61b9ef5cc78c611540462c
https://doi.org/10.18280/mmep.090506

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Voting-Based Deep Convolutional Neural Networks (VB-DCNNs) for M-QAM and M-PSK Signals Classification

Autor: Muhammad Talha, Mubashar Sarfraz, Atta Rahman, Sajjad A. Ghauri, Rami M. Mohammad, Gomathi Krishnasamy, Mariam Alkharraa

Publikováno v: Electronics; Volume 12; Issue 8; Pages: 1913

Automatic modulation classification (AMC) using convolutional neural networks (CNNs) is an active area of research that has the potential to improve the efficiency and reliability of wireless communication systems significantly. AMC is the approach u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::241ea289d8ab3f8fafbf61432cb5c4f5

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