Search Results - "Ramley, Intesar"

An Overview of Underwater Optical Wireless Communication Channel Simulations with a Focus on the Monte Carlo Method.

Authors: Ramley, Intesar Alzayed, Hamdah M. Al-Hadeethi, Yas et al.

Source: Mathematics (2227-7390). Dec2024, Vol. 12 Issue 24, p3904. 63p.

A Novel Underwater Wireless Optical Communication Optical Receiver Decision Unit Strategy Based on a Convolutional Neural Network.

Authors: El Ramley, Intesar F. Bedaiwi, Nada M. Al-Hadeethi, Yas et al.

Source: Mathematics (2227-7390). Sep2024, Vol. 12 Issue 18, p2805. 37p.

A Novel Computational Instrument Based on a Universal Mixture Density Network with a Gaussian Mixture Model as a Backbone for Predicting COVID-19 Variants' Distributions.

Authors: Al-Hadeethi, Yas El Ramley, Intesar F. Mohammed, Hiba et al.

Source: Mathematics (2227-7390). Apr2024, Vol. 12 Issue 8, p1254. 24p.

Simple Moment Generating Function Optimisation Technique to Design Optimum Electronic Filter for Underwater Wireless Optical Communication Receiver.

Authors: Ramley, Intesar F. El AlZhrani, Saleha M. Bedaiwi, Nada M. et al.

Source: Mathematics (2227-7390). Mar2024, Vol. 12 Issue 6, p861. 23p.

A New Polymorphic Comprehensive Model for COVID-19 Transition Cycle Dynamics with Extended Feed Streams to Symptomatic and Asymptomatic Infections.

Authors: Al-Hadeethi, Yas El Ramley, Intesar F. Mohammed, Hiba et al.

Source: Mathematics (2227-7390). Mar2023, Vol. 11 Issue 5, p1119. 27p.

Novel optimization techniques for underwater wireless optical communication links: using Monte Carlo simulation.

Authors: Ramley, Intesar Alzayed, Hamdah M. Al-Hadeethi, Yas et al.

Source: Defence Technology; Aug2025, Vol. 50, p386-411, 26p

Convolution model for COVID-19 rate predictions and health effort levels computation for Saudi Arabia, France, and Canada.

Authors: Al-Hadeethi Y Ramley IFE Sayyed MI

Source: Scientific reports [Sci Rep] 2021 Nov 22; Vol. 11 (1), pp. 22664. Date of Electronic Publication: 2021 Nov 22.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE