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  1. 1121
    Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods
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  2. 1122
    Applied Machine Learning for Geometallurgical Throughput Prediction—A Case Study Using Production Data at the Tropicana Gold Mining Complex
    “... machine learning model in the form of a neural network is used and compared to a linear model. The article...”
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  3. 1123
    Fast Optimization of Injector Selection for Waterflood, CO<sub>2</sub>-EOR and Storage Using an Innovative Machine Learning Framework
    Materias: “...machine learning...”
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  4. 1124
    Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models
    “... localization, respectively, when using GPR machine learning models, and provides telemetry data reception...”
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  5. 1125
    Spatial Prediction of Agrochemical Properties on the Scale of a Single Field Using Machine Learning Methods Based on Remote Sensing Data
    Materias: “...machine learning methods...”
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  6. 1126
    Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework
    Materias: “...machine learning...”
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  7. 1127
    A Study on Estimating Land Value Distribution for the Talingchan District, Bangkok Using Points-of-Interest Data and Machine Learning Classification
    Materias: “...machine learning...”
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  8. 1128
    Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions
    Materias: “...machine learning...”
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  9. 1129
    Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model.
    “... assistants showed high chronic stress. As machine learning strategies offer the opportunity to improve...”
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  10. 1130
    Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields.
    por Ephrem Habyarimana, Faheem S Baloch
    Publicado 2021
    “... of machine learning modelling of in-season sorghum biomass yields based on Sentinel-2-derived fAPAR...”
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  11. 1131
    Influence of social determinants of health and county vaccination rates on machine learning models to predict COVID-19 case growth in Tennessee
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  12. 1132
    Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach
    “..., is a machine learning approach that uses a Long Short-Term Memory network to predict the near-term...”
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  13. 1133
    Robust Ensemble Machine Learning Model for Filtering Phishing URLs: Expandable Random Gradient Stacked Voting Classifier (ERG-SVC)
    Materias: “...machine learning...”
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  14. 1134
    Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis
    Materias: “...unsupervised machine learning...”
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  15. 1135
    Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings
    “... by context-sensitively recommending key imaging biomarkers. However, studies evaluating machine learning (ML...”
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  16. 1136
    Self-Reported Complaints as Prognostic Markers for Outcome After Mild Traumatic Brain Injury in Elderly: A Machine Learning Approach
    “... several domains that are strongly related, we used an interpretable machine learning (ML) approach...”
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  17. 1137
    Coupling Machine Learning and High Throughput Multiplex Digital PCR Enables Accurate Detection of Carbapenem-Resistant Genes in Clinical Isolates
    “... studies have demonstrated the ability to combine machine learning (ML) algorithms with real-time digital...”
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  18. 1138
    Energy efficient data aggregation and improved prediction in cooperative surveillance system through Machine Learning and Particle Swarm based Optimization
    Materias: “...machine learning...”
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  19. 1139
    Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods
    “... the predictive accuracy of machine learning methods to predict the COVID-19 mortality risk. Methods We compared...”
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  20. 1140
    Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study
    “...Abstract Machine learning approaches using intravascular optical coherence tomography (OCT...”
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