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Federal
Map feature extraction challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Appendices for Geothermal Exploration Artificial Intelligence Report
Department of Energy —
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect... -
Federal
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Department of Energy —
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal... -
Federal
National Strategic Computing Initiative Update: Pioneering the Future of Computing
Networking and Information Technology Research and Development, Executive Office of the President —
The National Strategic Computing Initiative Update builds on the 2016 Strategic Computing Plan to enable focused and collaborative research, development, and... -
Federal
Fuel Cell Inverter Dataset
Department of Energy —
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter... -
Federal
Artificial Intelligence and Cybersecurity: Opportunities and Challenges: Technical Workshop Summary Report
Networking and Information Technology Research and Development, Executive Office of the President —
On June 4-6, 2019, the NSTC NITRD Program, in collaboration with the NSTC's MLAI Subcommittee, held a workshop to assess the research challenges and opportunities at... -
Federal
Federal Cybersecurity Research and Development Strategic Plan (2019)
Networking and Information Technology Research and Development, Executive Office of the President —
This 2019 Federal Cybersecurity Research and Development Strategic Plan supersedes the 2016 Federal Cybersecurity Research and Development Strategic Plan. The Plan... -
Federal
Map georeferencing challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
PV Inverter Experimental Data
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic... -
Federal
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)
Department of Energy —
This dataset shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes. -
Federal
Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020
Department of the Interior —
These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33).... -
Federal
Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements
National Institute of Standards and Technology —
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and... -
Federal
PV Inverter Experimental Dataset Version 2 with 100 Percent Power
Department of Energy —
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation... -
Federal
Trojan Detection Software Challenge - nlp-summary-jan2022-train
National Institute of Standards and Technology —
Round 9 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural... -
Federal
Programs and Code for Geothermal Exploration Artificial Intelligence
Department of Energy —
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from... -
Federal
2016–2019 Progress Report: Advancing Artificial Intelligence R&D
Networking and Information Technology Research and Development, Executive Office of the President —
This document reports current trends and examples of Federal R&D investments, program information, and activities in artificial intelligence that directly address... -
Federal
Brady Geodatabase for Geothermal Exploration Artificial Intelligence
Department of Energy —
These files contain the geodatabases related to Brady's Geothermal Field. It includes all input and output files for the Geothermal Exploration Artificial... -
Federal
ns-3 ORAN Module
National Institute of Standards and Technology —
This module for ns-3 implements the classes required to model a network architecture based on the O-RAN Alliance's specifications. These models include a Radio Access... -
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...