Search alternatives:
modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Code used for data analysis in this study.
Published 2025“…This study applies and evaluates machine learning (ML) algorithms to predict LBW and identify its key risk factors in Bangladesh. …”
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Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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Contactless Mobile Payment Framework and Software Application: Computer Programming Code and Data
Published 2025Subjects: -
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<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b>
Published 2025Subjects: -
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms.
Published 2025“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”
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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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