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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Fish Detection AI, Optic and Sonar-trained Object Detection Models
Department of Energy —
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite... -
Federal
Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions
National Institute of Standards and Technology —
This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions... -
Federal
Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions
Department of Commerce —
This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions... -
Federal
INTEGRATE - Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
Department of Energy —
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design... -
Federal
BUTTER - Empirical Deep Learning Dataset
Department of Energy —
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen... -
Federal
Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
U.S. Department of Health & Human Services —
Background Classification of the electrocardiogram using Neural Networks has become a widely used method in recent years. The efficiency of these classifiers depends... -
Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State... -
Federal
Training and Validation Datasets for Neural Network to Fill in Missing Data in EBSD Maps
Department of Commerce —
This dataset consists of the synthetic electron backscatter diffraction (EBSD) maps generated for the paper, titled "Hybrid Algorithm for Filling in Missing Data in... -
Federal
Estimated quantiles for the pour points of 9,203 level-12 hydrologic unit codes in the southeastern United States, 1950--2009
Department of the Interior —
This page contains 15 estimated quantiles for 9,203 level-12 Hydrologic Unit Code in the Southeastern United States for the decades 1950-1959, 1960-1969, 1970-1979,... -
Federal
Neural Network Calculator for Designing Trojan Detectors
Department of Commerce —
This is software that has the purpose of a web-based interactive neural network (NN) calculator with a NN inefficiency measurement. The software has been developed... -
Federal
Training and Validation Datasets for Neural Network to Fill in Missing Data in EBSD Maps
National Institute of Standards and Technology —
This dataset consists of the synthetic electron backscatter diffraction (EBSD) maps generated for the paper, titled "Hybrid Algorithm for Filling in Missing Data in... -
Federal
Neural Network Calculator for Designing Trojan Detectors
National Institute of Standards and Technology —
This is software that has the purpose of a web-based interactive neural network (NN) calculator with a NN inefficiency measurement. The software has been developed...