Kyeong Soo Kim. Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018. pages 196-201, IEEE, 2018. [doi]
@inproceedings{Kim18-79,
title = {Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting},
author = {Kyeong Soo Kim},
year = {2018},
doi = {10.1109/CANDARW.2018.00045},
url = {https://doi.org/10.1109/CANDARW.2018.00045},
researchr = {https://researchr.org/publication/Kim18-79},
cites = {0},
citedby = {0},
pages = {196-201},
booktitle = {Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018},
publisher = {IEEE},
isbn = {978-1-5386-9184-7},
}