Extreme learning machine for user location prediction in mobile environment

• Main Authors: Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media A., Abu Osman, Md. Tap
• Format: E-Article
• Language: English
• Published: Emerald Group Publishing Ltd. 2011
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/21686/1/Extreme%20learning%20machine%20for%20user%20location%20prediction%20in%20mobile%20environment%20%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/21686/; https://www.emeraldinsight.com/doi/full/10.1108/17427371111146446

Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal str...