Pre- and Post-Processing Algorithms with Deep Learning Classifier for Wi-Fi Fingerprint-Based Indoor Positioning
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Title
Pre- and Post-Processing Algorithms with Deep Learning Classifier for Wi-Fi Fingerprint-Based Indoor Positioning
Authors
Keywords
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Journal
Electronics
Volume 8, Issue 2, Pages 195
Publisher
MDPI AG
Online
2019-02-11
DOI
10.3390/electronics8020195
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Related references
Note: Only part of the references are listed.- Slide: Towards Fast and Accurate Mobile Fingerprinting for Wi-Fi Indoor Positioning Systems
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- Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment
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- WLAN Fingerprint Indoor Positioning Strategy Based on Implicit Crowdsourcing and Semi-Supervised Learning
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- Indoor Fingerprint Positioning Based on Wi-Fi: An Overview
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- A Two-Filter Integration of MEMS Sensors and WiFi Fingerprinting for Indoor Positioning
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- Occupancy Estimation Using Only WiFi Power Measurements
- (2015) Saandeep Depatla et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine
- (2015) Han Zou et al. SENSORS
- Collaborative WiFi Fingerprinting Using Sensor-Based Navigation on Smartphones
- (2015) Peng Zhang et al. SENSORS
- An Improved Algorithm to Generate a Wi-Fi Fingerprint Database for Indoor Positioning
- (2013) Lina Chen et al. SENSORS
- Accuracy of RSS-Based Centroid Localization Algorithms in an Indoor Environment
- (2011) Paolo Pivato et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A survey of indoor positioning systems for wireless personal networks
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