Abstract | ||
---|---|---|
Plant biologists study pollen tubes to discover the functions of many proteins/ions and map the complex network of pathways that lead to an observable growth behavior. Many growth models have been proposed that address parts of the growth process: internal dynamics and cell wall dynamics, but they do not distinguish between the two types of growth segments: straight versus turning behavior. We pro... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LSP.2016.2598558 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Mathematical model,Turning,Image segmentation,Electron tubes,Feature extraction,Damping,Shape | Observable,Pattern recognition,Feature extraction,Image segmentation,Gaussian,Artificial intelligence,Complex network,Extensibility,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 10 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Asongu L. Tambo | 1 | 5 | 2.59 |
Bir Bhanu | 2 | 3356 | 380.19 |