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Found 650 dataset(s) matching "artificial".
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A three-dimensional unsaturated-zone flow model was developed using Hydrus-3D (PC-Progress, Inc.) to simulate managed aquifer recharge at the Southeast Houghton Artificial Recharge Project (SHARP)...
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from...
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from...
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Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work zone and traffic data from...
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Perfluorocarbon emulsions are being clinically evaluated as artificial oxygen carriers to reduce allogeneic blood transfusions or to improve tissue oxygenation. Perfluorocarbon emulsions are...
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The Wireless Spectrum R&D Interagency Working Group workshop, Artificial Intelligence and Wireless Spectrum: Opportunities and Challenges, was held in August 2019 to explore the role of AI...
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The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the...
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The most commonly used parameter for thermal maturity calibration in basin modelling is mean random vitrinite reflectance (Ro). However, Ro suppression, or lower than expected Ro, has been noted...
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This section serves as the FY2025 annual report on the status of the AI Institutes as called for in the National Artificial Intelligence Initiative Act of 2020 (Public Law 116-283). The lead...
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This document includes relevant text from the 2016 and 2019 national AI R&D strategic plans, along with updates prepared in 2023 based on Administration and interagency evaluation of the National...
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The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from...
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AEH-18-Baybar-01_compiled_for_R: CSV file with column headers; Trial Date (date the individual trial took place), Location of SL (where they ended up in the system at the end of trial), Total SL...
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Raman spectroscopy was studied as a thermal maturity probe in a series of Upper Devonian Ohio Shale samples from the Appalachian Basin spanning from immature to dry gas conditions. Raman...
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This document aims to capture lessons learned from the activities spearheaded by various agencies to enhance access to cloud computing resources to advance federally funded AI R&D and highlight...
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We generated a data set from by collecting duplicate swabs from all amphibian individuals sampled at 5 sites (96 individuals) and analyzed these duplicate swabs running 3 subsamples of the...
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Data consist of flow cytometry files (.FCS) that were generated in the analysis of larval pallid sturgeon specimens. Nuclei from produced larval sturgeon somatic cells were analyzed using flow...
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This cruise used the remotely operated vehicle (ROV) Jason II to: explore 4-6 new sites for the occurrence of deep water coral reefs; made collections of Lophelia and other corals for genetic and...
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This use-inspired NASA AIST project collects biological, chemical, and physical variables in and above the water at Chesapeake Bay sites for analysis within the lab. These ground-truth data are...
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We are collecting and analyzing biological, chemical, and physical variables in and above the water at target sites and in the lab, looking for hyperspectral proxies that covarying with...
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The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: - brady_som_output.gri,...
