Elaheh Homayounvala, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahideh Moghtadaiee. A novel smartphone application for indoor positioning of users based on machine learning. In Robert Harle, Katayoun Farrahi, Nicholas Lane, editors, Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. pages 430-437, ACM, 2019. [doi]
@inproceedings{HomayounvalaNSG19,
title = {A novel smartphone application for indoor positioning of users based on machine learning},
author = {Elaheh Homayounvala and Mohammad Nabati and Reza Shahbazian and Seyed Ali Ghorashi and Vahideh Moghtadaiee},
year = {2019},
doi = {10.1145/3341162.3349300},
url = {https://doi.org/10.1145/3341162.3349300},
researchr = {https://researchr.org/publication/HomayounvalaNSG19},
cites = {0},
citedby = {0},
pages = {430-437},
booktitle = {Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019},
editor = {Robert Harle and Katayoun Farrahi and Nicholas Lane},
publisher = {ACM},
isbn = {978-1-4503-6869-8},
}