1 code implementation • 13 Jul 2022 • Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta
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.
BIG-bench Machine Learning Generative Adversarial Network +1
no code implementations • 4 May 2022 • Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta
We use those to compute the correlation among all samples in the dataset and remove fingerprints with low level of correlation from the dataset.
no code implementations • 21 Apr 2022 • Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, Joaquín Huerta
Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment.