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A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA - based on Genetic Programming
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A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA - based on Genetic Programming

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The application of data science and machine learning techniques in predicting the compressive strength of confined concrete - Research report - prediction of compressive strength using ML
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The application of data science and machine learning techniques in predicting the compressive strength of confined concrete - Research report - prediction of compressive strength using ML

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Estimation of CO2 Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning - A Comprehensive Approach
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Estimation of CO2 Emissions in Transportation Systems Using Artificial Neural Networks, Machine Learning, and Deep Learning - A Comprehensive Approach

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A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences
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A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences

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Machine learning for authentication of black tea from narrow-geographic origins - Combination of PCA and PLS with LDA and SVM classifiers
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Machine learning for authentication of black tea from narrow-geographic origins - Combination of PCA and PLS with LDA and SVM classifiers

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Applying Machine Learning to Analyze ATM Cash Withdrawal Patterns and Develop Optimization Model - Insights from Credit and Debit Card Transactions in India
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Applying Machine Learning to Analyze ATM Cash Withdrawal Patterns and Develop Optimization Model - Insights from Credit and Debit Card Transactions in India

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Comparative Analysis of Machine Learning Models for Chronic Disease Prediction - A Multimodel Study On Diabetes, Hypertension, and Stroke
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Comparative Analysis of Machine Learning Models for Chronic Disease Prediction - A Multimodel Study On Diabetes, Hypertension, and Stroke

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Integrating ICT and Education in Development - A Trend Analysis Driven by the Capability Approach and Machine Learning
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Integrating ICT and Education in Development - A Trend Analysis Driven by the Capability Approach and Machine Learning

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Exploring the drivers and prediction of fund flow in the Norwegian Bond Fund Market - Deploying classic statistics and machine learning methods - Master thesis
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Exploring the drivers and prediction of fund flow in the Norwegian Bond Fund Market - Deploying classic statistics and machine learning methods - Master thesis

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A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients - A Spanish Perspective
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A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients - A Spanish Perspective

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Data-driven simulations and policy gradients for limit order books
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Data-driven simulations and policy gradients for limit order books

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Machine learning-ready mental health datasets for evaluating psychological effects and system needs in Mexico city during the first year of the COVID-19 pandemic - Research dataset and system needs evaluation
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Machine learning-ready mental health datasets for evaluating psychological effects and system needs in Mexico city during the first year of the COVID-19 pandemic - Research dataset and system needs evaluation

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How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions - credit risk assessment study
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How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions - credit risk assessment study

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Predictive Modelling Employing Machine Learning, Convolutional Neural Networks (CNNs), and Smartphone RGB Images for Non-destructive Biomass Estimation of Pearl Millet
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Predictive Modelling Employing Machine Learning, Convolutional Neural Networks (CNNs), and Smartphone RGB Images for Non-destructive Biomass Estimation of Pearl Millet

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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis - read online free
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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis - read online free

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