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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
fold processing » food processing (Expand Search), wood processing (Expand Search), post processing (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
fold processing » food processing (Expand Search), wood processing (Expand Search), post processing (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
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Comparison of TPR, FPR, and AUC for Different Methods (Five-Fold Cross-Validation).
Published 2025Subjects: -
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Risk element category diagram.
Published 2025“…This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …”
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Comparison of Ten-fold Cross validation metrics for various machine learning models.
Published 2025Subjects: -
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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction
Published 2025Subjects: “…bayesian optimization algorithm…”
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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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Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms
Published 2025“…The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. Multi-stack astrocyte images were collected before and after ablation, converted into tiff files, and processed to extract normalized calcium intensities. …”