• openAccess   Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive 

      Quezada Gaibor, Darwin; Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Valkama, Mikko; Huerta, Joaquin IEEE (2023-07-27)
      Indoor 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 ...
    • openAccess   UJI Probes Revisited: Deeper Dive Into the Dataset of Wi-Fi Probe Requests 

      Bravenec, Tomáš; Torres-Sospedra, Joaquín; Gould, Michael; Fryza, Tomas Institute of Electrical and Electronics Engineers Inc. (2023-11-22)
      This article centers on the deeper presentation of a new and publicly accessible dataset comprising Wi-Fi probe requests. Probe requests fall within the category of management frames utilized by the 802.11 (Wi-Fi) protocol. ...