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Publications by Michael Zachman

Machine Learning for Challenging EELS and EDS Spectral Decomposition

Microscopy and Microanalysis
Instrumentation
2019English

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Statistical Machine Learning for Spectral Data Analysis

Materia Japan
2019English

Machine Learning-Based Spectral Library for Crop Classification and Status Monitoring

Agronomy
AgronomyCrop Science
2019English

A Method of Component Extraction of EDS and EELS Maps

Microscopy and Microanalysis
Instrumentation
2015English

Machine Learning in APOGEE: Unsupervised Spectral Classification With K-Means

Astronomy and Astrophysics
AstrophysicsAstronomyPlanetary ScienceSpace
2018English

Bearing Fault Diagnosis Based on Intrinsic Time-Scale Decomposition and Extreme Learning Machine

Vibroengineering Procedia
ControlSystems EngineeringElectronic EngineeringMechanical EngineeringMaterials ScienceOcean EngineeringElectrical
2017English

A Spectral Decomposition for Singular-Hyperbolic Sets

Pacific Journal of Mathematics
Mathematics
2007English

Coordinated Nano-Scale EDS and EELS Measurements of Lunar Space-Weathered Material

Microscopy and Microanalysis
Instrumentation
2018English

POD-spectral Decomposition for Fluid Flow Analysis and Model Reduction

Theoretical and Computational Fluid Dynamics
Computational MechanicsTransfer ProcessesEngineeringFluid FlowCondensed Matter Physics
2013English

Machine Learning for Biometrics

English

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