Detection of flood disaster system based on IoT, big data and convolutional deep neural network

Natural disasters could be defined as a blend of natural risks and vulnerabilities. Each year, natural as well as human-instigated disasters, bring about infrastructural damages, distresses, revenue losses, injuries in addition to huge death roll. Researchers around the globe are trying to find a un...

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Vydáno v:	Computer communications Ročník 150; s. 150 - 157
Hlavní autoři:	Anbarasan, M., Muthu, BalaAnand, Sivaparthipan, C.B., Sundarasekar, Revathi, Kadry, Seifedine, Krishnamoorthy, Sujatha, Samuel R., Dinesh Jackson, Dasel, A. Antony
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 15.01.2020
Témata:	Convolutional deep neural network (CDNN) Hadoop distributed file system (HDFS) Missing value imputation Normalization Rule generation Missing value imputation Hadoop distributed file system (HDFS) Normalization Convolutional deep neural network (CDNN) Rule generation
ISSN:	0140-3664, 1873-703X
On-line přístup:	Získat plný text
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