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Optimizing anticoagulant use for stroke prevention: a systematic review of machine learning interventions
Published 2024-12-01Get full text
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Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks
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Improvement in low-homology template-based modeling by employing a model evaluation method with focus on topology.
Published 2014-01-01“…Many template-based modeling (TBM) methods have been developed over the recent years that allow for protein structure prediction and for the study of structure-function relationships for proteins. …”
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LITERATURE REVIEW ON RELIABILITY, OPTIMIZATION, AND PERFORMABILITY ANALYSIS OF INDUSTRIAL SYSTEMS
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Revolutionizing Battery Longevity by Optimising Magnesium Alloy Anodes Performance
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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants
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Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis
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Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model
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Artificial Intelligence in Healthcare: Innovation and Impact in Medical Practice
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Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry
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Study of the Frost Resistance of HDFC Based on a Response Surface Model and GM (1,1) Model
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