23 citations · 71 across the 8 of their papers we have counts for
3 papers · 1 filter
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.…
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra +4
Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need…
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2
Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment.…