Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

احصل على النص الكامل

FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

"…The performed experiments show that 60% of flow packets are a good compromise that ensures high performance in the least processing time. The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …"
احصل على النص الكامل

Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller حسب Rahim, A.H.M.A.

"…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
احصل على النص الكامل

Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers حسب Tarhini, Abbas

"…Various studies have been conducted regarding this topic; nevertheless, up to now, few studies used the Cuckoo Search-based hyper-heuristic. This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Online Control and Optimization of Directional Drilling حسب unknown

"…In this thesis, dynamic modeling of two different DSS were developed and optimized using different control and optimization techniques. …"
احصل على النص الكامل

A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

"…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
احصل على النص الكامل

Optimal shunt compensators at nonsinusoidal busbars حسب El-Amin, I.M.

"…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear load. …"
احصل على النص الكامل
احصل على النص الكامل

Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. …"

Computation of conformal invariants حسب Mohamed M.S., Nasser

"…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS حسب El-Amin, I.M.

"…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear lend. …"
احصل على النص الكامل

Accurate multiple network alignment through context-sensitive random walk حسب Hyundoo Jeong (3840013)

"…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …"

Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review حسب Hiba Alzoubi (18001609)

"…</p><h3>Objective</h3><p dir="ltr">This systematic review evaluates the performance of AI models in detecting and subtyping medulloblastomas using histopathological images. …"

Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"

The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis حسب Ghada Al-Hussain (18295426)

"…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …"

Thermal convection of fluid in fractured media حسب Sfeir, Abdallah

"…The results obtained, using a simple model representing two blocks separated by a horizontal fracture, suggest that the convection phenomenon should not be neglected in modelling thermal flow in fractured rock masses. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis حسب Alaa Abd-Alrazaq (17430900)

"…Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Design and implementation of a deep learning-empowered m-Health application حسب Akhan Akbulut (17380285)

"…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. …"

Predicting business cycle turning points with neural networks in an information-poor economy حسب Nasr, George E.

"…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل