A fingerprint-based localization algorithm based on LSTM and data expansion method for sparse samples
Authors:
- Bing JiaBJBing Jia
- Wenling QiaoWQWenling Qiao
- Zhaopeng ZongZZZhaopeng Zong
- Shuai LiuSLShuai Liu
- Mohammad HijjiMHMohammad Hijji
- Javier Del SerJSJavier Del Ser
- Khan MuhammadKMKhan Muhammad
- 30 July 2022
- journal article
- research article
- Published by Elsevier in Future Generation Computer Systems
- Vol. 137, 380-393
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- 3-D BLE Indoor Localization Based on Denoising AutoencoderIEEE Access, 2017
- Deep Neural Networks for wireless localization in indoor and outdoor environmentsNeurocomputing, 2016
- Internet of Things and Big Data Analytics for Smart and Connected CommunitiesIEEE Access, 2016
- Gaussian Process Assisted Fingerprinting LocalizationIEEE Internet of Things Journal, 2015
- A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environmentsNeurocomputing, 2013
- Received-Signal-Strength-Based Indoor Positioning Using Compressive SensingIEEE Transactions on Mobile Computing, 2011
- GAUSSIAN PROCESSES FOR MACHINE LEARNINGInternational Journal of Neural Systems, 2004
- Bayesian filtering for location estimationIEEE Pervasive Computing, 2003
- Long Short-Term MemoryNeural Computation, 1997
- LIII. On lines and planes of closest fit to systems of points in spaceJournal of Computers in Education, 1901