# LahiruJayasinghe/DeepDOA

<https://repo.masters-masters.com/en/repos/LahiruJayasinghe/DeepDOA>

[Home](https://repo.masters-masters.com/en) › [LahiruJayasinghe](https://repo.masters-masters.com/en/owners/LahiruJayasinghe) › [DeepDOA](https://repo.masters-masters.com/en/repos/LahiruJayasinghe/DeepDOA)

LahiruJayasinghe/DeepDOA has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Finding Direction of arrival (DOA) of small UAVs using Sparse…

| Field | Value |
| --- | --- |
| Owner | [LahiruJayasinghe](https://repo.masters-masters.com/en/owners/LahiruJayasinghe) |
| Stars | 104 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | autoencoder, sparse-autoencoders, denoising-autoencoders, direction-of-arrival, unmanned-aerial-vehicle |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [LahiruJayasinghe/DeepDOA](https://github.com/LahiruJayasinghe/DeepDOA) |

## Repository

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.