Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2024-02-03T09:05:37Z | - |
| dc.date.available | 2024-02-03T09:05:37Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9309 | - |
| dc.description.abstract | The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. | vi |
| dc.format.extent | 419ps | vi |
| dc.language.iso | en | vi |
| dc.publisher | The Institution of Engineering and Technology | vi |
| dc.subject | Network Design | vi |
| dc.subject | Radar Applications | vi |
| dc.subject | Ứng dụng ra đa | vi |
| dc.subject | Thiết kế mạng | vi |
| dc.title | Deep Neural Network Design for Radar Applications | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
Files in This Item:
