Temporal trends analysis for dengue outbreak and network threats severity prediction accuracy improvement
Time series analysis is one of the major techniques in capturing trends and pattern of the occurrence for future forecasting. Existing but scarce work have developed temporal-based techniques which target to either predict movement (increase or decrease) or quantify the possibility of the predicted...
Saved in:
| Main Authors: | Mohd Sharef, Nurfadhlina, Husin, Nor Azura, Kasmiran, Khairul Azhar, Ninggal, Mohd Izuan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Digital Information Research Foundation
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/82150/1/Temporal%20trends%20analysis%20.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostic accuracy and predictive value in differentiating the severity of dengue infection
by: Kim, Gary Kuan Low, et al.
Published: (2019) -
Back propagation neural network and non-linear regression models for dengue outbreak prediction /
by: Nor Azura Husin. -
The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue
by: Kim, Gary Kuan Low, et al.
Published: (2018) -
Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction
by: Husin, Nor Azura, et al.
Published: (2016) -
A hybrid model using genetic algorithm and neural network for predicting dengue outbreak
by: Husin, Nor Azura, et al.
Published: (2012)
