بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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141
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
منشور في 2002"…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …"
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article -
142
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …"
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masterThesis -
143
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …"
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144
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …"
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article -
145
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. The objective is to produce a model capable of predicting centroids with greater accuracy than the traditional random initialization used in K-means. …"
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masterThesis -
146
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
منشور في 2025"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"
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147
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148
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …"
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149
A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
منشور في 2022"…We study the key research areas in phishing email detection using NLP, machine learning algorithms used in phishing detection email, text features in phishing emails, datasets and resources that have been used in phishing emails, and the evaluation criteria. …"
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150
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…Informal Arabic lacks standardization and has no grammar, thus sentimental analysis in this area is considered a complex process. Sentiment Analysis for Arabic has been studied for MSA (Modern Standard Arabic) but rarely for informal Arabic, and non-existent for Arabizi; whereas most of the youth in Lebanon text in Arabizi claiming that it is easier than texting in Arabic. …"
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masterThesis -
151
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …"
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152
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153
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154
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
155
A stochastic iterative learning control algorithm with application to an induction motor
منشور في 2004"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
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156
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157
Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks
منشور في 2018"…We consider the problem of dominating set-based virtual backbone used for routing in asymmetric wireless ad-hoc networks. …"
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article -
158
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…Statistical parameters i.e., mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R<sup>2</sup>), were used to assess the prediction accuracy of the models. The results of the correlation matrices showed that the blueberry yield and losses (leaf loss, blower loss) had medium to strong correlations accessed based on the correlation coefficient (r) range 0.37–0.79. …"
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159
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
منشور في 2022"…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"
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160