„Machine Learning Models“
Suchergebnisse
3.650 Treffer
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What makes on-farm experimental data suitable for data-driven decision-making? Implications of trial design and spatial distribution of field data for machine learning models
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Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models
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Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning
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Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area
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Identifying subjective life expectancy risk factors in physically active and inactive middle-aged and older adults using machine learning models
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Multi-source remote sensing-based soil moisture retrieval at different depths in the Naqu Region, Tibetan Plateau: a comparative analysis of machine learning models with modified water cloud model preprocessing
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Use of machine learning predictive models in sagittal alignment planning in adolescent idiopathic scoliosis surgery
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Machine Learning Descriptors for Mapping Structure‐Property‐Performance Relationships of Perovskite Solar Cells
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Use of machine learning models for prediction of compressive strength of concrete produced with waste materials
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Comparison of machine learning models with data augmentation techniques for predicting E. coli die-off rate in solar disinfection
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Machine learning models for the prediction of COVID-19 prognosis in the primary health care setting
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Explainable machine learning models for predicting topsoil metals and oxides
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Explainable machine learning models for predicting of protein-energy wasting in patients on maintenance haemodialysis
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Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary cementitious materials
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Clinical parameters-based machine learning models for predicting intraoperative hemodynamic instability in hypertensive pheochromocytomas and paragangliomas patients
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Correspondence regarding “Clinical parameters-based machine learning models for predicting intraoperative hemodynamic instability in hypertensive pheochromocytomas and paragangliomas patients”
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Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development
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IoT based soil moisture measurement and type prediction using advanced regression and machine learning models
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Predicting outcomes in pediatric patients with acute kidney injury: a retrospective single-center cohort study using machine learning models
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Developing highly accurate machine learning models for optimizing water quality management decisions in tilapia aquaculture