بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
models using » model using (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
models using » model using (توسيع البحث)
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701
On the complexity of multi-parameterized cluster editing
منشور في 2017"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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article -
702
Data mining approach to predict student's selection of program majors
منشور في 2019"…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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703
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
منشور في 2009احصل على النص الكامل
doctoralThesis -
704
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…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. …"
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article -
705
Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller
منشور في 2006"…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
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article -
706
Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
منشور في 2020"…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. …"
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article -
707
Online Control and Optimization of Directional Drilling
منشور في 2020"…In this thesis, dynamic modeling of two different DSS were developed and optimized using different control and optimization techniques. …"
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masterThesis -
708
Optimal shunt compensators at nonsinusoidal busbars
منشور في 1995"…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear load. …"
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article -
709
Developing an online hate classifier for multiple social media platforms
منشور في 2020"…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. …"
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710
Computation of conformal invariants
منشور في 2020"…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
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article -
711
OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS
منشور في 2020"…The Direct Search Polytope algorithm is used. The solution of this model yields an optimal shunt LC compensator for the nonlinear lend. …"
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article -
712
Accurate multiple network alignment through context-sensitive random walk
منشور في 2015"…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …"
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713
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
منشور في 2025"…</p><h3>Objective</h3><p dir="ltr">This systematic review evaluates the performance of AI models in detecting and subtyping medulloblastomas using histopathological images. …"
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714
Extreme Early Image Recognition Using Event-Based Vision
منشور في 2023"…<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. …"
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715
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
منشور في 2022"…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …"
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716
Thermal convection of fluid in fractured media
منشور في 1995"…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. …"
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article -
717
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
منشور في 2021"…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. …"
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718
DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
منشور في 2025"…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. …"
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article -
719
Design and implementation of a deep learning-empowered m-Health application
منشور في 2023"…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. …"
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720
Predicting business cycle turning points with neural networks in an information-poor economy
منشور في 2007"…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …"
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conferenceObject