5 datasets found
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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
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
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...
5 datasets found