„Machine Learning Models“
Suchergebnisse
3.650 Treffer
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Non-Hodgkin’s lymphoma classification using 3D radiomics machine learning models for precision imaging in oncology
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Efficient decoy selection to improve virtual screening using machine learning models
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Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction
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Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction
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Comparison of model initialization methods in machine learning for thin-section rock image classification
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Application of machine learning models in predicting malaria prevalence in Nigeria: an analysis of the 2015–2020 demographic and health surveys
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Stroke Prediction Using Ensemble Machine and Deep Learning Models
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Machine Learning Models for Estimation of Solubility for A Wide Range of Solutes in Multiple Solvents Using Molecular Descriptors
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Development of machine learning models for predicting the deposition of sulfide scales in oil production wells
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Fundamental feature-based assessment of water quality through optimal enhanced models
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Modeling the CO and CO 2 output in the gasification process using optimized hybrid machine learning models
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Ensemble Machine Learning Models for Estimating Stone Column Load-Bearing Capacity Using Combined Experimental and Field Test Data
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Machine learning applied to global scale species distribution models
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Evaluating Vision Language Models (VLMs) across six traditional games: an evaluation paradigm to better assess culturally sensitive question answering systems
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Enhancing photovoltaic power output optimization: hybrid machine learning models for multi-objective and multi criteria decision making and sustainable energy integration
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Geospatial Machine Learning Models for Integrated Landslide Risk and Asset Exposure Assessment
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Enhancing Predictive Accuracy in Shear Strength of RC Deep Beams: A Comprehensive Analysis Using Ensemble Machine Learning Models
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Comparative analysis of machine learning models for brain tumor detection: a meta-analysis
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Answer to the letter to the Editor of T. Ruan concerning “Development of machine learning models for predicting patient-perceived benefit following lumbar disc herniation or spinal stenosis surgery” by Z.A. Toh, et al. (Eur Spine J; doi:10.1007/s00586-025-09304-y) by Bjørnar Berg and Zheng An Toh
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Anticipating drought: enhancing prediction models and assessing environmental impact in Eswatini’s Maguga Basin