Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm
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Kang Yang↗
SEARCH · Engineering Papers
Results for “Learning Algorithm”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Rule-based OneClass-DS learning algorithm
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Dat T. Nguyen↗
The hunt for red tides: Deep learning algorithm forecasts shellfish toxicity at site scales in coastal Maine
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Isabella Grasso↗
Security Modeling and Simulation to Address the Outsider Threat Use of Machine Learning Algorithms to Determine Features for Analysis.
Abstract not provided.
Dominguez, Dean↗
Neural machine learning algorithms and hardware for image analysis and data science applications.
Abstract not provided.
James, Conrad D.↗
Neural machine learning algorithms and hardware for image analysis and data science applications.
Abstract not provided.
James, Conrad D.↗
Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms.
Abstract not provided.
Vineyard, Craig Michael↗
Web-Interfaced Molecular Dynamics Simulation Platform with Machine-Learning-Algorithms-Empowered Force-Fields
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Su, Ninghai↗
Trusting Machine Learning Algorithms for Safeguards Applications.
Abstract not provided.
Shoman, Nathan↗
Monitoring DER Integrity using Machine Learning Algorithms on a Single Board Computer.
Abstract not provided.
Jones, Christian Birk↗
The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling.
Abstract not provided.
Davis, IV, Warren Leon↗
Uncertainty Quantification and Machine Learning Algorithms for Physical Models: Tackling Computational Expense and High-Dimensionality.
Abstract not provided.
Safta, Cosmin↗
Machine Learning Algorithms for Multi-dimensional Integration and Lattice QCD
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Yoon, Boram↗
A Generalized Theory of Information to Improve Algorithmic Learning and Predictions.
Abstract not provided.
Duersch, Jed Alma↗
Advanced Machine Learning Algorithms for Geological Carbon Storage Verification
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Frish, Michael↗
It's OK to be a Control Freak: Deploying machine learning algorithms and model-based controllers for WRRF optimization
Hybrid models are powerful predictors of performance in Water Resource Recovery Facilities (WRRFs). When used in controllers, hybrid models can help inform manipulated variable setpoints in feedforward controllers. This idea was tested for chlorine disinfection and ammonia-based aeration control.
Sparks, Jeff↗
Leveraging Machine Learning Algorithms for Efficient Optimization
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Engineering - Aeronautics, Mathematics and Computi↗
An improved algorithm for learning systems
Algorithm for implementing learning controller
Scott, R. N.↗