Name
Title | ||
|---|---|---|
Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications |
Abstract | ||
|---|---|---|
•A new era of aerospace systems has instigated highly coupled frameworks.•It leading to a significant rise in design complexity.•Spatio Temporal-based Kinematic Adaptive Sampling (ST-KAS) is Proposed.•It presents the new design process to reduce the complexity and improve accuracy.•Algorithm is designed through a dynamic model and a Probability Uncertainty Measure. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115472 | Expert Systems with Applications |
Keywords | DocType | Volume |
Spatio temporal,Kinematic,Adaptive sampling,Time factor matrix,Spatial association matrix,Probability uncertainty measure | Journal | 184 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Parameshwaran Ramalingam | 1 | 0 | 0.34 |
| Gopalakrishnan Lakshminarayanan | 2 | 0 | 0.34 |
| R. Manikandan | 3 | 21 | 8.15 |
| Rizwan Patan | 4 | 0 | 0.34 |