A Stacked Denoising Autoencoder and Long Short-Term Memory Approach With Rule-Based Refinement to Extract Valid Semantic Trajectories

A Stacked Denoising Autoencoder and Long Short-Term Memory Approach With Rule-Based Refinement to Extract Valid Semantic Trajectories

Indoor location-based services have been widely investigated to take advantage of semantic trajectories for providing user oriented services in indoor environments. Although indoor semantic trajectories can provide seamless understanding to users regarding the provided location-based services, studi...

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Bibliographic Details
Main Authors: Yoga Yustiawan, Hani Ramadhan, Joonho Kwon
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
indoor localization
the Internet of Things
rule-based refinement
semantic trajectories
Online Access:https://ieeexplore.ieee.org/document/9431193/

Internet

https://ieeexplore.ieee.org/document/9431193/

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