Found 23 datasets matching "Machine Learning (ML) Models".
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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: 114.33 | Views last month: 1 -
A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted...
Search relevance: 101.12 | Views last month: 0 -
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum...
Search relevance: 96.83 | Views last month: 0 -
Utilizes natural language processing (NLP) and machine learning (ML) to analyze disability texts (hearing decisions, Appeal Council Decisions) to provide decision support to adjudicators that will...
Search relevance: 92.44 | 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: 92.22 | Views last month: 2 -
The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has been synonymous with modeling...
Search relevance: 88.72 | Views last month: 2 -
This is the geospatial and hydroclimate input data used to develop data-driven Machine Learning (ML) models as well as model estimated water quality based risk metrics and watershed health...
Search relevance: 88.35 | Views last month: 7 -
Due to the increasing diversity of organic contaminants discharged into anoxic water environments, reactivity prediction is necessary for chemical persistence evaluation for water treatment and...
Search relevance: 79.84 | Views last month: 1 -
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells - increasing or decreasing...
Search relevance: 77.98 | Views last month: 4 -
As described in the README.md file, the GitHub repository github.com/USEPA/PRTR-QSTR-models/tree/data-driven are Python scripts written to run Quantitative Structure–Transfer Relationship (QSTR)...
Search relevance: 74.91 | Views last month: 2 -
Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial intelligence (AI)...
Search relevance: 74.27 | Views last month: 1 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 70.46 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 70.43 | Views last month: 2 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 70.43 | Views last month: 1 -
This is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of designing a recurrent...
Search relevance: 69.95 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 69.48 | Views last month: 0 -
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including...
Search relevance: 69.48 | Views last month: 0 -
Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or ‘label images’) collated for the purposes of training and evaluating machine...
Search relevance: 69.36 | Views last month: 1 -
The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical...
Search relevance: 65.77 | Views last month: 2 -
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the...
Search relevance: 59.21 | Views last month: 0
