A novel smartphone application for indoor positioning of users based on machine learning-Reference-Cited by-同舟云学术

A novel smartphone application for indoor positioning of users based on machine learning

Published:2019-09-09 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
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Author:

Homayounvala Elaheh¹,Nabati Mohammad²,Shahbazian Reza²,Ghorashi Seyed Ali²,Moghtadaiee Vahideh²

Affiliation:

1. Goldsmiths University of London, UK.

2. Shahid Beheshti University, Tehran, Iran.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3341162.3349300

Reference23 articles.

1. Fast fingerprinting based indoor localization by Wi-Fi signals

2. Multi‐layer neural network for received signal strength‐based indoor localisation

3. A novel maximum likelihood based estimator for bearing-only target localization

4. Jerome Friedman Trevor Hastie and Robert Tibshirani. 2001. The elements of statistical learning. Vol. 1. Springer series in statistics New York. Jerome Friedman Trevor Hastie and Robert Tibshirani. 2001. The elements of statistical learning . Vol. 1. Springer series in statistics New York.

5. Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

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