Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment-Reference-Cited by-同舟云学术

Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment

Published:2018-06-29 Issue:7 Volume:8 Page:1062
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Adege Abebe,Lin Hsin-Piao,Tarekegn Getaneh,Jeng Shiann-Shiun

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/8/7/1062/pdf

Reference34 articles.

1. An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings

2. Indoor positioning: A key enabling technology for IoT applications

3. A comparative study on machine learning algorithms for indoor positioning

4. Deep Neural Networks for wireless localization in indoor and outdoor environments

5. Machine-Learning Indoor Localization with Access Point Selection and Signal Strength Reconstruction

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distance- and Angle-Based Hybrid Localization Integrated in the IEEE 802.15.4 TSCH Communication Protocol;Sensors;2024-06-17

2. IMPos: Indoor Mobile Positioning With 5G Multibeam Signals From a Single Base Station;IEEE Internet of Things Journal;2024-06-01

3. Landslide susceptibility assessment using deep learning considering unbalanced samples distribution;Heliyon;2024-05

4. Counteracting Packet Loss in Fingerprint-Based Indoor Positioning via Spatially Regularized Entropy and Ground-Truth Prior Variational Inference;IEEE Sensors Journal;2024-05-01

5. A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms;Pertanika Journal of Science and Technology;2024-03-26