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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computer communications Jg. 150; S. 150 - 157
Hauptverfasser:	Anbarasan, M., Muthu, BalaAnand, Sivaparthipan, C.B., Sundarasekar, Revathi, Kadry, Seifedine, Krishnamoorthy, Sujatha, Samuel R., Dinesh Jackson, Dasel, A. Antony
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.01.2020
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!