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Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure

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

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

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

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

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

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

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

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

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

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

Precipitation forecast post-processing - blending deterministic NWPs with machine learning - EGU General Assembly 2024

Precipitation forecast post-processing - blending deterministic NWPs with machine learning - EGU General Assembly 2024

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

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

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

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

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

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

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

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

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

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

Data-driven simulations and policy gradients for limit order books

Data-driven simulations and policy gradients for limit order books

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

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

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

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