Massive Free Documents

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

Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials

Origin of the yield stress anomaly in L12 intermetallics unveiled with physically informed machine-learning potentials

Add by Evangeline

Scaling Mixed-Integer Optimization for Machine Learning Problems - Doctoral Dissertation

Scaling Mixed-Integer Optimization for Machine Learning Problems - Doctoral Dissertation

Add by Evangeline

Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT - A Machine Learning-Based Differentiation of Parkinson’s Disease and Essential Tremor

Diagnostic Accuracy of DaTQUANT® Versus BasGanV2™ for 123I-Ioflupane Brain SPECT - A Machine Learning-Based Differentiation of Parkinson’s Disease and Essential Tremor

Add by Evangeline

Towards Improved Identification of Vertebral Fractures in Routine Computed Tomography (CT) Scans - Development and External Validation of a Machine Learning Algorithm

Towards Improved Identification of Vertebral Fractures in Routine Computed Tomography (CT) Scans - Development and External Validation of a Machine Learning Algorithm

Add by Evangeline

Machine Learning–Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones

Machine Learning–Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones

Add by Evangeline

Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose-lowering drugs with machine learning - The Maastricht study

Prediction of glycaemic control and quality of life in people with type 2 diabetes using glucose-lowering drugs with machine learning - The Maastricht study

Add by Evangeline

Advances in Artificial Intelligence and Machine Learning for Precision Medicine in Necrotizing Enterocolitis and Neonatal Sepsis - A State-of-the-Art Review

Advances in Artificial Intelligence and Machine Learning for Precision Medicine in Necrotizing Enterocolitis and Neonatal Sepsis - A State-of-the-Art Review

Add by Evangeline

Discovering research articles containing evolutionary timetrees by machine learning

Discovering research articles containing evolutionary timetrees by machine learning

Add by Evangeline

Sustainable Solutions to Land Degradation and Rainfall Variability in Sub-Saharan Africa - Integrating Traditional Water Management, Agricultural Intensification, and Machine Learning Approaches - Doctor of Philosophy Thesis

Sustainable Solutions to Land Degradation and Rainfall Variability in Sub-Saharan Africa - Integrating Traditional Water Management, Agricultural Intensification, and Machine Learning Approaches - Doctor of Philosophy Thesis

Add by Evangeline

Quantifying Groundwater Response and Uncertainty in Beaver‐Influenced Mountainous Floodplains Using Machine Learning‐Based Model Calibration

Quantifying Groundwater Response and Uncertainty in Beaver‐Influenced Mountainous Floodplains Using Machine Learning‐Based Model Calibration

Add by Evangeline

学习多模态时空数据以提升智能电网韧性：机器学习方法

学习多模态时空数据以提升智能电网韧性：机器学习方法

Add by Evangeline

Machine learning-based prediction of adverse pregnancy outcomes in antiphospholipid syndrome using pregnancy antibody levels

Machine learning-based prediction of adverse pregnancy outcomes in antiphospholipid syndrome using pregnancy antibody levels

Add by Seraphina

MULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING METHODOLOGIES - Master's Thesis

MULTI-TARGET DETECTION& TRACKING USING MACHINE LEARNING METHODOLOGIES - Master's Thesis

Add by Evangeline

Machine learning for subnational residential electricity demand forecasting to 2050 under shared socioeconomic pathways - Comparing tree-based, neural and kernel methods

Machine learning for subnational residential electricity demand forecasting to 2050 under shared socioeconomic pathways - Comparing tree-based, neural and kernel methods

Add by Evangeline

Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients - Machine learning models for clinical decision support

Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients - Machine learning models for clinical decision support

Add by Evangeline