Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning
Accurate indoor positioning is essential for many applications. However, current methods often fall short in complex environments due to signal fluctuations. We propose a new indoor positioning approach, that is, improved sequential deep learning (ISDL), to address this issue. First, we apply sequen...
Saved in:
Main Authors: | Dongfang Mao, Haojie Lin, Xuyang Lou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/18/1/17 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved indoor location algorithm based on linear interpolation
by: Mengdan ZHANG, et al.
Published: (2017-01-01) -
Research and development of hash retrieval technology based on deep learning
by: Mingwen YUAN, et al.
Published: (2018-10-01) -
The Diagnosis of Diabetes Using a Hybrid Algorithm Consisting of the Flower Pollination Algorithm and an Ensemble of a Subset of K-NN Classifiers
by: Zeinab Hassani, et al.
Published: (2022-03-01) -
A Classifier Based on K-Nearest Neighbors Using Weighted Summation of Reconstruction Errors
by: Rassoul Hajizadeh, et al.
Published: (2024-04-01) -
Distributed nearneighbor search algorithm based on real-time traffic information in dynamic road network
by: Chen YE, et al.
Published: (2014-12-01)