An exploratory assessment of multistream deep neural network fusion : design and applications
Gardado en:
| Autor Principal: | |
|---|---|
| Data de Publicación: | 2022 |
| Formato: | Doctoral thesis |
| Idioma: | eng |
| Fonte: | Repositório Institucional da UnB |
| Download full: | https://repositorio.unb.br/handle/10482/45041 |
Summary: | Tese (doutorado) — Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2022. |
Títulos similares: An exploratory assessment of multistream deep neural network fusion : design and applications
- Deforestation detection in sar images using deep neural networks
- Quality assessment of enhanced underwater images with convolutional neural networks
- Deep semantic segmentation of center pivot irrigation systems from remotely sensed data
- A multi-layer feature fusion method for few-shot image classification
- Mild steel GMA welds microstructural analysis and estimation using sensor fusion and neural network modeling
- Human action recognition in image sequences based on a two-stream convolutional neural network classifier