Cargando…
Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images
The fast progress in research and development of multifunctional, distributed sensor networks has brought challenges in processing data from a large number of sensors. Using deep learning methods such as convolutional neural networks (CNN), it is possible to build smarter systems to forecasting futu...
Autores principales: | Hu, Weijun, Zhang, Yan, Li, Lijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718995/ https://www.ncbi.nlm.nih.gov/pubmed/31426516 http://dx.doi.org/10.3390/s19163584 |
Ejemplares similares
-
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics
por: Vaz, Joel Markus, et al.
Publicado: (2021) -
The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts
por: Wen, Hao, et al.
Publicado: (2021) -
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France
por: Mohimont, Lucas, et al.
Publicado: (2021) -
Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs
por: Saboo, Yash S, et al.
Publicado: (2023) -
Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models
por: Loraksa, Chanunya, et al.
Publicado: (2021)