|
[1]
|
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Geocarto International,
2022
DOI:10.1080/10106049.2022.2046866
|
|
|
|
|
[2]
|
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Geocarto International,
2022
DOI:10.1080/10106049.2022.2046866
|
|
|
|
|
[3]
|
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Geocarto International,
2022
DOI:10.1080/10106049.2022.2046866
|
|
|
|
|
[4]
|
A rapid flood risk assessment method for response operations and nonsubject‐matter‐expert community planning
Journal of Flood Risk Management,
2020
DOI:10.1111/jfr3.12579
|
|
|
|
|
[5]
|
A rapid flood risk assessment method for response operations and nonsubject‐matter‐expert community planning
Journal of Flood Risk Management,
2020
DOI:10.1111/jfr3.12579
|
|
|
|
|
[6]
|
Implementation of a Surface Water Extent Model in Cambodia using Cloud-Based Remote Sensing
Remote Sensing,
2020
DOI:10.3390/rs12060984
|
|
|
|
|
[7]
|
Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models
ISPRS International Journal of Geo-Information,
2019
DOI:10.3390/ijgi8110520
|
|
|
|
|
[8]
|
An Adaptive Gaussian filter for merging JICA and MOST DEM
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON),
2018
DOI:10.1109/ECTICon.2018.8620010
|
|
|
|
|
[9]
|
Challenges and research directions for Internet of Things
Telecommunication Systems,
2017
DOI:10.1007/s11235-017-0343-y
|
|
|
|