| 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&show=full |  | 
| 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 |  |