Search alternatives:
learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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Pain during activity X before and after surgery as an example of symptom relief.
Published 2024Subjects: -
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Importance of perceived harms of hip replacement (n = 275 patients’ responses).
Published 2024Subjects: -
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The patient information leaflet (front page with image available upon request).
Published 2024Subjects: -
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External cohort raw data.
Published 2025“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”
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Internal cohort raw data.
Published 2025“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”
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Code snippet from “Netty/Buffer” Maven artefact.
Published 2025“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”
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Model code
Published 2025“…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …”
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PATH<sup>+</sup> explains tighter binding of carbonic anhydrase II by brinzolamide.
Published 2025Subjects: -
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