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Autoencoder extreme learning machine for fingerprint-based positioning: A good ...
Gaibor, Darwin P. Quezada; Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Valkama, Mikko; Huerta, Joaquín; Torres-Sospedra, JoaquínIndoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. Supervised, semisupervised, and unsupervised models have thus been widely used in this field, not only to estimate the user position, but also to compress, clean, and denoise fingerprinting datasets. Some scholars have focused on developing, improving, and o...
Date: 2023
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Origin: RepositóriUM - Universidade do Minho