The accuracy of all employed learning algorithms. حسب Quan Shao (20148209)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

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Classification accuracy of feature set 2 and feature set 3 in each algorithm. حسب Quan Shao (20148209)

Table 1_Early stroke detection through machine learning in the prehospital setting.xlsx حسب María Ríos Delgado (22004942)

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Data Sheet 2_Early stroke detection through machine learning in the prehospital setting.pdf حسب María Ríos Delgado (22004942)

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Data Sheet 1_Early stroke detection through machine learning in the prehospital setting.pdf حسب María Ríos Delgado (22004942)

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Quantity of data sources. حسب Christina Halmich (21637790)

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Data augmentation methods. حسب Christina Halmich (21637790)

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Data Sheet 1_Convolutional neural networks decode finger movements in motor sequence learning from MEG data.docx حسب Aleksey Zabolotniy (22211695)

Machine learning algorithms hyperparameter values. حسب Mahbub E. Sobhani (22278967)

Temporal trends of publications. حسب Christina Halmich (21637790)

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Geographical distribution of publications. حسب Christina Halmich (21637790)

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Number of publications found in each database with the corresponding search terms that include duplicates. حسب Christina Halmich (21637790)

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Flow diagram of the systematic selection. حسب Christina Halmich (21637790)

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Table 1_Decoding neutrophil extracellular traps and key gene drivers in unexplained pregnancy loss.docx حسب Hui Ding (308976)

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…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. …"

Description of the dataset used for the machine learning algorithm. حسب Tri Ngo Quang (20390189)