Found an issue? Give us feedback

Link to

shareShare

uploadDeposit

codeEmbed

downloadDownload

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=nsf_________::da3dfe0822d4ebadf49984c7fa5a7b30&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Collaborative Research: OAC CORE: Large-Scale Spatial Machine Learning for 3D Surface Topology in Hydrological Applications

assignment_turned_inproject01 Oct 2021(Started)-31 Oct 2021(Ended)Closed

Funder: National Science FoundationProject code: 2107530

Funded under: Directorate for Computer, Information Science and Engineering | Office of Advanced Cyberinfrastructure Funder Contribution: 261,161 USD

Collaborative Research: OAC CORE: Large-Scale Spatial Machine Learning for 3D Surface Topology in Hydrological Applications

- Summary
- DMPs

Partners

AAMU

Data Management Plans

Start a new DMP in Argos

Found an issue? Give us feedback

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=nsf_________::da3dfe0822d4ebadf49984c7fa5a7b30&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Collaborative Research: OAC CORE: Large-Scale Spatial Machine Learning for 3D Surface Topology in Hydrological Applications

Collaborative Research: OAC CORE: Large-Scale Spatial Machine Learning for 3D Surface Topology in Hydrological Applications

Loading