بدائل البحث:
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
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101
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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102
Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
منشور في 2021"…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. In this study, we used twitter as our data source. …"
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103
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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104
LaScaDa: A Novel Scalable Topology for Data Center Network
منشور في 2020"…<p dir="ltr">The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability characteristics of data centers. …"
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105
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…Magnetic resonance imaging data were most commonly used for classifying bipolar patients compared to other groups (11, 34%), whereas microarray expression data sets and genomic data were the least commonly used. …"
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106
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107
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"
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108
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …"
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109
Developing an online hate classifier for multiple social media platforms
منشور في 2020"…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"
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110
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111
Development of multivariable PID controller gains in presence of measurement noise
منشور في 2017"…The development of the proposed optimal algorithm is based on minimising a stochastic performance index in presence of erroneous initial conditions, white measurement noise, and white process noise. …"
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112
Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study
منشور في 2003"…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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113
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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114
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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115
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116
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117
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118
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119
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
منشور في 2021"…The outcomes of the DNA microarray is a table/matrix, called gene expression data. Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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120
PILE-UP FREE PARAMETER ESTIMATION AND DIGITAL ONLINE PEAK LOCALIZATION ALGORITHMS FOR GAMMA RAY SPECTROSCOPY
منشور في 2020"…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 0.1. …"
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