Name
Title | ||
|---|---|---|
Application of Neural Networks for Dynamic Modeling of an Environmental-Aware Underwater Acoustic Positioning System Using Seawater Physical Properties |
Abstract | ||
|---|---|---|
Node localization is one of the major challenges that exist in underwater communication. Various techniques exist for terrestrial networks, while few of them are applicable in underwater networks due to the dynamic characteristic of the underwater channels, e.g., the lack of global positioning system (GPS) coverage under the water surface. Moreover, assorted environmental properties affect almost ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LGRS.2020.3039283 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Artificial neural networks,Mathematical model,Salinity (geophysical),Water,Temperature,Predictive models,Underwater communication | Journal | 19 |
ISSN | Citations | PageRank |
1545-598X | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad A. Aziz El-Banna | 1 | 1 | 0.35 |
| kaishun wu | 2 | 1059 | 94.59 |
| Basem M. ElHalawany | 3 | 9 | 4.17 |