Underground water dam levels and energy consumption prediction using computational intelligence techniques
Publisher:
Year
: 2014DOI: 10.1109/ICWOAL.2014.7009194
Keyword(s): Broadband communication,Digital divide,Europe,Internet,Mobile communication,Statistics,Broadband,Broadband policies,Digital Divide,NGA,Rural coverage
Collections
:
-
Statistics
Underground water dam levels and energy consumption prediction using computational intelligence techniques
Show full item record
| contributor author | Hasan, A.N. , Twala, B. , Marwala, T. | |
| date accessioned | 2020-03-12T19:56:22Z | |
| date available | 2020-03-12T19:56:22Z | |
| date issued | 2014 | |
| identifier other | 6841445.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/995912?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Underground water dam levels and energy consumption prediction using computational intelligence techniques | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8115545 | |
| subject keywords | Broadband communication | |
| subject keywords | Digital divide | |
| subject keywords | Europe | |
| subject keywords | Internet | |
| subject keywords | Mobile communication | |
| subject keywords | Statistics | |
| subject keywords | Broadband | |
| subject keywords | Broadband policies | |
| subject keywords | Digital Divide | |
| subject keywords | NGA | |
| subject keywords | Rural coverage | |
| identifier doi | 10.1109/ICWOAL.2014.7009194 | |
| journal title | omputational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA | |
| filesize | 811642 | |
| citations | 2 |