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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-04294-9
Abstract: Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. We address this problem by pursuing the hypothesis that there is important cognitive information about NDD conditions contained in the way individuals move,…
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Keywords:
deep learning;
neurodivergent disorders;
severity;
learning diagnosis ... See more keywords
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Published in 2024 at "BioMed Research International"
DOI: 10.1155/2024/9820870
Abstract: [This retracts the article DOI: 10.1155/2021/5213550.].
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Keywords:
deep learning;
research progress;
learning diagnosis;
research ... See more keywords
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Published in 2024 at "Food Science and Nutrition"
DOI: 10.24966/fsn-1076/100204
Abstract: Banana crops play a pivotal role in securing global food supplies and supporting economic stability. However, they are confronted with significant challenges stemming from a variety of diseases that not only diminish yields but also…
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Keywords:
deep learning;
banana;
diagnosis banana;
learning diagnosis ... See more keywords
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Published in 2020 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2020.01051
Abstract: Missing data are hard to avoid, or even inevitable, in longitudinal learning diagnosis and other longitudinal studies. Sample attrition is one of the most common missing patterns in practice, which refers to students dropping out…
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Keywords:
attrition;
sample attrition;
learning diagnosis;
longitudinal learning ... See more keywords