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Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.
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Enhancing relative humidity modelling using L2 regularization updates
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Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder
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Shuffled Puma Optimizer for Parameter Extraction and Sensitivity Analysis in Photovoltaic Models
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Utilising machine learning classification models for meteorological drought monitoring and analysis
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The Potential for Large Language Models to Transform Cardiovascular Medicine (Russian Translation)
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Examination of Landslide Susceptibility Modeling Using Ensemble Learning and Factor Engineering
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Integrating protein language models and automatic biofoundry for enhanced protein evolution
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Re-identification of patients from imaging features extracted by foundation models
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Short-Term Power Load Forecasting Based on DPSO-LSSVM Model
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