Using Machine Learning to Create Turbine Performance Models (Presentation) [electronic resource]
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2013
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

Machine Learning Reveals the Critical Interactions for SARS-CoV-2 Spike Protein Binding to ACE2 [electronic resource]
	Tác giả:
	Xuất bản: Oak Ridge Tenn Oak Ridge Tenn: Oak Ridge National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  610.28  Thêm vào giỏ

Forecasting influenza activity using machine-learned mobility map [electronic resource]
	Tác giả:
	Xuất bản: Argonne Ill Oak Ridge Tenn: Argonne National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  577.4  Thêm vào giỏ

DDxNet [electronic resource] : a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  616.12  Thêm vào giỏ

A Machine-Learning Decision-Support Tool for Travel-Demand Modeling [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  629.2  Thêm vào giỏ

Autonomous Sensor System for Wind Turbine Blade Collision Detection [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  621.521  Thêm vào giỏ

The importance of atmospheric turbulence and stability in machine-learning models of wind farm power production [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ

Probabilistic Short-Term Wind Forecasting Based on Pinball Loss Optimization [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  333.914  Thêm vào giỏ

Implementing Machine Learning in the PCWG Tool [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
	Bộ sưu tập: Metadata
	ddc:  621.45  Thêm vào giỏ