„Machine Learning Models“
Suchergebnisse
3.650 Treffer
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Developing Machine Learning Models for Identifying the Failure Potential of Fire-Exposed FRP-Strengthened Concrete Beams
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Exploring data elements pricing with market factors -machine learning models based on integrated algorithms
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Accelerated Discovery of Potential Organic Dyes for Dye‐Sensitized Solar Cells by Interpretable Machine Learning Models and Virtual Screening
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Development of a Model Composting Process for Food Waste in an Island Community and Use of Machine Learning Models to Predict its Performance
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Hierarchical machine learning models can identify stimuli of climate change misinformation on social media
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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study
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Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models
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Foundations of Text Alignment – Statistical Machine Translation Models from Bitexts to Bigrammars
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Preventive machine learning models incorporating health checkup data and hair mineral analysis for low bone mass identification
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Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings
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Machine learning assisted prediction of organic salt structure properties
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Comparative Analysis of Various Machine-Learning Models for Solar-Wind Propagation-Delay Estimation
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Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement
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Can machine learning algorithms improve upon classical palaeoenvironmental reconstruction models?
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Comparative Analysis of Machine Learning Models for Predictive Control of the Cyclopentadine Production Process
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Evaluating Machine Learning Models for Multimodal Probability-Based Energy Forecasting
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A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
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Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply
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Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores