most citedSURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning

23 citations · 23 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SP2022★ 23 cited

SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2

Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference data can be extracted.…