extendGAN+: Transferable Data Augmentation Framework Using WGAN-GP for Data-Driven Indoor Localisation Model

For indoor localisation, a challenge in data-driven localisation is to ensure sufficient data to train the prediction model to produce a good accuracy. However, for WiFi-based data collection, human effort is still required to capture a large amount of data as the representation Received Signal Stre...

Descripción completa

Detalles Bibliográficos
Autores principales: Yean, Seanglidet, Goh, Wayne, Lee, Bu-Sung, Oh, Hong Lye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181623/
https://www.ncbi.nlm.nih.gov/pubmed/37177610
http://dx.doi.org/10.3390/s23094402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181623/
https://www.ncbi.nlm.nih.gov/pubmed/37177610
http://dx.doi.org/10.3390/s23094402

Ejemplares similares