Mining space and terrestrial data for natural phenomena predictions and improved human livelihood

Tools

MWITONDI, Kassim, WANG, K., DAWO, M., ZIMMING, Z., SAID, R., YU, T., ALKARKHI, A., KHAMIS, M., EL GAMRI, T. and AL-RASHDI, M. (2014). Mining space and terrestrial data for natural phenomena predictions and improved human livelihood. In: International Conference on Data Sharing and Integration for Global Sustainability, New Delhi, India, 2-5th November 2014. (Submitted) [Conference or Workshop Item]

More Information
Official URL:
http://www.scidatacon2014.org/
Research Institute, Centre or Group - Does NOT include content added after October 2018:
Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:
Faculty of Science, Technology and Arts > Department of Computing
Event Location:
New Delhi, India

Identifiers

Library

Item Type:
Conference or Workshop Item (Paper)
Depositing User:
Helen Garner
Date Deposited:
16 Feb 2015 11:25
Last Modified:
18 Mar 2021 08:45
URI:
https://shura.shu.ac.uk/id/eprint/9408
Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Actions (login required)

View Item View Item

SHURA supports OAI 2.0 with a base URL of https://shura.shu.ac.uk/cgi/oai2