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learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
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Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution"
Published 2025“…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …”
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List of the time used by each algorithm.
Published 2024“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”
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ML algorithms used in this study.
Published 2025“…This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …”
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Types of machine learning algorithms.
Published 2024“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”
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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.</p><p dir="ltr"><b><u>Sensitivity Analysis</u></b></p><p dir="ltr"><b>cargas25_50_75_AS:</b> contains the pre processed updated dataset of pharmaceuticals sales data for the 3 scenarium conditions.…”
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Decision tree algorithms.
Published 2025“…Ensemble learning in supervised machine learning is also a common technique for handling imbalanced data. …”
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Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms"
Published 2024“…Various machine learning algorithms were employed to train classification models, and an aggregated model was presented based on the individual classifiers. …”