Found 95 datasets matching "Machine Learning Approach".
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Given the widespread decline of coral reefs across the globe on account of climate change-induced rises in seawater temperature, a series of temperature-focused models have been generated to...
Search relevance: 114.69 | Views last month: 0 -
Microscopic images of hematologically stained whole blood cells from diploid and triploid Grass Carp (Ctenopharynngodon idella) were obtained by a laboratory microscope and field microscope.
Search relevance: 98.40 | Views last month: 0 -
Barrier islands provide resources and ecological services that are integral to economic and environmental interests, such as protection of coastal infrastructure and providing habitat for...
Search relevance: 96.83 | Views last month: 0 -
This dataset contains surface-ocean partial pressure of carbon dioxide (pCO2) that the ensemble mean of six two-step clustering-regression machine learning methods. The ensemble is a combination...
Search relevance: 77.41 | Views last month: 0 -
Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This paper posits that...
Search relevance: 75.19 | Views last month: 0 -
The data are comprised of input and output data from Machine Learning models that were developed to predict watershed health (WH) values in HUC-10 sub-watersheds within three major Midwest river...
Search relevance: 74.39 | Views last month: 1 -
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project (DE-FOA-0001956), with the objective of developing a machine learning approach to...
Search relevance: 71.99 | Views last month: 0 -
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art...
Search relevance: 70.79 | Views last month: 1 -
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new...
Search relevance: 69.50 | Views last month: 2 -
This product is a result of the use of a decision tree-based advanced machine learning algorithm (XGB) combined with an ensemble approach to predict the surface total alkalinity (TA) of the North...
Search relevance: 68.22 | Views last month: 0 -
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were...
Search relevance: 66.78 | Views last month: 2 -
This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San Francisco International Airport,...
Search relevance: 65.73 | Views last month: 3 -
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by University of Pittsburgh,...
Search relevance: 65.59 | Views last month: 3 -
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH],...
Search relevance: 65.20 | Views last month: 0 -
Outputs from WRF, EPIC, VIC. Outputs and analysis from the ML-based model described in the paper. This dataset is associated with the following publication: Feng Chang, C., M. Astitha, Y. Yuan,...
Search relevance: 64.24 | Views last month: 0 -
This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh,...
Search relevance: 64.12 | Views last month: 0 -
Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the...
Search relevance: 62.85 | Views last month: 1 -
Damage characterization through wave propagation and scattering is of considerable interest to many non-destructive evaluation techniques. For fiber-reinforced composites, complex waves can be...
Search relevance: 61.04 | Views last month: 0 -
One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the training data (support vectors) to...
Search relevance: 58.92 | Views last month: 0 -
This product provides MERRA-2 bias-corrected global hourly surface total PM2.5 mass concentration with the same horizontal spatial resolution as MERRA-2, covering a temporal range from 2000 to...
Search relevance: 58.22 | Views last month: 0
