Massive Free Documents

Discover millions of professional documents covering academic, business, culture and more.

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

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

Added by Eliana

Data-driven simulations and policy gradients for limit order books

Data-driven simulations and policy gradients for limit order books

Added by Eliana

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

Added by Eliana

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

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

Added by Eliana

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

Added by Eliana

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

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

Added by Eliana