2,630 matching use cases
Low ×
OMB-IND-DOI-0144OMB Individually Reported

Adaptive Management with AMMonitor

Automated species identification from remote sensed data (images and audio files)

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0146OMB Individually Reported

Machine learning for stream velocity prediction

To predict stream velocity from streamflow and geographic attributes.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0147OMB Individually Reported

Improved earthquake detection for research studies [2024 INV#WO0000000108499]

Deep learning methods are being used to improve detection of earthquakes to provide more complete, high-resolution catalogs that are used in research to better understand earthqua…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0148OMB Individually Reported

Machine Learning for Avalanche Frequency Modeling

The machine learning (Random Forest) was used to identify vegetation characteristics in avalanche paths. This helps determine avalanche return periods in specific avalanche paths.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0149OMB Individually Reported

discrimination among biological radar target types detected by NEXRAD

OMB Individually ReportedLow risk
OMB-IND-DOI-0150OMB Individually Reported

AI to survey boat traffic

We are using AI to collect boat traffic times when traveling in a specific area by scanning video. Typically, this type of data would be collected by manually watching video and…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0151OMB Individually Reported

target discrimination on portable radar

This application of machine learning is intended as a pilot effort to discriminate among radar target types, specifically between flying animals and precipitation.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0152OMB Individually Reported

Lead attribution model

Classification model identifying soils potentially contaminated by lead from battery recycling

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0153OMB Individually Reported

Machine Learning for Rapid Earthquake Magnitude Estimation

A machine learning algorithm that utilizes statistics of earthquake waveforms to determine whether an earthquake is large enough to warrant an earthquake early warning alert, with…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0154OMB Individually Reported

An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter

AI leverages the very large water quality dataset from extensive existing in situ data at continuous monitoring stations to develop a remote sensing model with improved accuracy f…

OMB Individually ReportedEnergy and the EnvironmentLow risk
OMB-IND-DOI-0155OMB Individually Reported

Machine Learning for automatic fracture mapping and rock identification [2024 INV#WO0000000109499]

Machine learning algorithms are being used to improve detection and characterization of fault surface geometries using the spatial patterns of earthquake locations. We have improv…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0156OMB Individually Reported

PRObability of Streamflow PERmanence (PROSPER models) [2024 INV#WO0000000109074]

predictions of reliable surface flow in streams at regional scales to inform land and water resource decisions related to water availability.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0157OMB Individually Reported

Remote sensing of particulate and filter passing mercury species: models and proxies

AI provides the framework for understanding the relationship between optical water quality parameters and non-optical contaminants to develop highly accurate remote sensing models…

OMB Individually ReportedEnergy and the EnvironmentLow risk
OMB-IND-DOI-0158OMB Individually Reported

HOTLink: identifying elevated thermal anomalies at volcanoes [2024 INV#WO0000000109217]

Moves beyond threshold-based hotspot detection algorithms using computer vision and CNN for improved detection of weka thermal signals that may be the first indiciation of volcani…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0159OMB Individually Reported

Tephra classification with machine learning [2024 INV#WO0000000109095]

Layers of volcanic ash can be classified using a their geochemical components to link a the ash to the volcano it erupted from.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0161OMB Individually Reported

use of random forest for species distribution modeling

We use random forest models in R as part of an ensemble species distribution modelling workflow. Random forests have been applied to model the distribution of Joshua trees, as wel…

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0163OMB Individually Reported

Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311]

The system predicts the location of seafloor massive sulfide deposits for use as critical mineral indicators. Produces associated mapping products for public use.

OMB Individually ReportedEnergy and the EnvironmentLow risk
OMB-IND-DOI-0164OMB Individually Reported

Mapping ecohydrological headwater refugia

This application of machine learning is being used to aggregate complex spatial data to develop a statistical model used to create detailed maps of headwater stream resources and…

OMB Individually ReportedEnergy and the EnvironmentLow risk
OMB-IND-DOI-0165OMB Individually Reported

Tsunami Hazard Analysis [2024 INV#WO0000000108470]

Improve onshore probabilistic inundation forecasts

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0166OMB Individually Reported

Machine Learning based shoreline detection and sea ice dynamics using coastal cameras [2024 INV#WO0000000108008]

Determine shoreline location and change as well as sea ice dynamics from coastal cameras in remote communities

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0167OMB Individually Reported

Machine learning for streamflow forecasting [2024 INV#WO0000000109317]

Improve streamflow forecasting predictions in the Willamette River basin.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0168OMB Individually Reported

Machine Learning for Bat Acoustics

Improving the accuracy and timeliness of species status assessments and science to support deregulation efforts.

OMB Individually ReportedScienceLow risk
OMB-IND-DOI-0169OMB Individually Reported

CHS Q Business AI Assistant (theKraken)

The AI Assistant is designed to address the challenge of quickly finding and using information spread across multiple platforms like GitLab and Confluence. Instead of employees sp…

OMB Individually ReportedAdministrative FunctionsLow risk
OMB-IND-DOI-0170OMB Individually Reported

Everlaw AI Assistant for Responsive Review

Everlaw AI Assistant’s Coding Suggestions lets OTAR and DO set natural-language criteria (case, category, and code descriptions) to assess document responsiveness. By tagging docu…

OMB Individually ReportedAdministrative FunctionsLow risk