WebTensor: Towards high-performance raster data analysis in the browser

Naumann, Lucas Fabian (2023) WebTensor: Towards high-performance raster data analysis in the browser. In: 2023 Database Systems for Business, Technology and Web, BTW 2023, pp. 1083-1089. Gesellschaft für Informatik e.V.. BTW 2023, 2023-03-06 - 2023-03-10, Dresden, Deutschland. doi: 10.18420/BTW2023-75. ISBN 978-388579725-8. ISSN 1617-5468.

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Item URL in elib:

https://elib.dlr.de/199331/

Document Type:

Conference or Workshop Item (Poster)

Title:

WebTensor: Towards high-performance raster data analysis in the browser

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Naumann, Lucas Fabian	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

6 March 2023

Journal or Publication Title:

2023 Database Systems for Business, Technology and Web, BTW 2023

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

DOI:

10.18420/BTW2023-75

Page Range:

pp. 1083-1089

Publisher:

Gesellschaft für Informatik e.V.

ISSN:

1617-5468

ISBN:

978-388579725-8

Status:

Published

Keywords:

DataCube, Tensor, WASM

Event Title:

BTW 2023

Event Location:

Dresden, Deutschland

Event Type:

international Conference

Event Start Date:

6 March 2023

Event End Date:

10 March 2023

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

other

DLR - Research area:

Raumfahrt

DLR - Program:

R - no assignment

DLR - Research theme (Project):

R - no assignment

Location:

Jena

Institutes and Institutions:

Institute of Data Science > Data Management and Enrichment

Deposited By:

Osterthun, Arne

Deposited On:

22 Dec 2023 08:04

Last Modified:

24 Apr 2024 20:59

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