Underground water dam levels and energy consumption prediction using computational intelligence techniques
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/ICWOAL.2014.7009194
کلیدواژه(گان): Broadband communication,Digital divide,Europe,Internet,Mobile communication,Statistics,Broadband,Broadband policies,Digital Divide,NGA,Rural coverage
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آمار بازدید
Underground water dam levels and energy consumption prediction using computational intelligence techniques
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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 | http://libsearch.um.ac.ir:80/fum/handle/fum/995912 | |
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 |