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Computing and Applying Atomic Regulons to Understand Gene Expression and Regulation [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
Bộ sưu tập: Metadata
ddc:  570
 
Clustering Analysis of Commercial Vehicles Using Automatically Extracted Features from Time Series Data [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, 2020
Bộ sưu tập: Metadata
ddc:  629.2
 
Consumer Convenience and the Availability of Retail Stations as a Market Barrier for Alternative Fuel Vehicles [electron...
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:  333.794
 
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  610
 
Optimum aggregation of geographically distributed flexible resources in strategic smart-grid/microgrid locations [electr...
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary for Nuclear Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  621.3
 
The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind po...
Tác giả:
Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
Bộ sưu tập: Metadata
ddc:  621.5
 
The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind po...
Tác giả:
Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
Bộ sưu tập: Metadata
ddc:  621.531
 
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