بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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21
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…In this work, we propose a new model to enhance auto-indexing Arabic texts. Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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احصل على النص الكامل
masterThesis -
22
The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…The framework allows practitioners and researchers to automatically generate different classification models. This research used High-Resolution Orbitrap-based Mass Spectrometers (HRMS) data to create automated prediction models for the first time in literature. …"
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23
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …"
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24
An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems
منشور في 2019"…Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
25
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
26
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
27
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. …"
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28
Second-order conic programming for data envelopment analysis models
منشور في 2022"…Data envelopment analysis (DEA) is a widely used benchmarking technique. …"
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احصل على النص الكامل
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29
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
منشور في 2022"…The model is then applied to data collected from a reputable university that included 126,698 records with twenty-six (26) initial data attributes. …"
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30
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
منشور في 2022"…We describe our differentially-private model with flexible constraints and a dynamic window algorithm to maintain the privacy-budget loss in infinitely generated time-series data. …"
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31
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…For this purpose, software quality prediction models have been extensively used. However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
32
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
33
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
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35
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36
Capturing outline of fonts using genetic algorithm and splines
منشور في 2001"…In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which becomes a continuous, non-linear and multivariate optimization problem with many local optima. …"
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احصل على النص الكامل
article -
37
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38
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
منشور في 2021"…The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"
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