A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin

2020 ◽  
Vol 13 (3) ◽  
pp. 915-927 ◽  
Author(s):  
Dostdar Hussain ◽  
Tahir Hussain ◽  
Aftab Ahmed Khan ◽  
Syed Ali Asad Naqvi ◽  
Akhtar Jamil
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
River Basin ◽  
Time Series Prediction ◽  
Learning Approach

A Combined Deep Learning Approach for Time Series Prediction in Energy Environments

2020 ◽  
Author(s):  
Antonello Rosato ◽  
Federico Succetti ◽  
Rodolfo Araneo ◽  
Amedeo Andreotti ◽  
Massimo Mitolo ◽  
...  
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Prediction ◽  
Learning Approach

scholarly journals A deep learning approach for anomaly detection with industrial time series data: a refrigerators manufacturing case study

2019 ◽  
Vol 38 ◽  
pp. 233-240 ◽  
Author(s):  
Mattia Carletti ◽  
Chiara Masiero ◽  
Alessandro Beghi ◽  
Gian Antonio Susto
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Series Data ◽  
Learning Approach

scholarly journals Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

2021 ◽  
Vol 264 ◽  
pp. 112600
Author(s):  
Robert N. Masolele ◽  
Veronique De Sy ◽  
Martin Herold ◽  
Diego Marcos Gonzalez ◽  
Jan Verbesselt ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Deep Learning ◽  
Learning Methods
Sign in / Sign up

Export Citation Format

Share Document