Novel Deep Hybrid and Ensemble Algorithms for Improving GPS Navigation Positioning Accuracy
GPS (Global Positioning System) has been a widespread system used for various purposes in today’s world and it is essential to suggest innovative effective solutions to improve its use and functions. The present study proposes GPS coordinate conversion models based on Machine Learning (ML...
Main Authors: | Tolga Aydin, Ebru Erdem |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10113606/ |
Similar Items
-
Ensemble Clustering in GPS Velocities: A Case Study of Turkey
by: Batuhan Kılıç, et al.
Published: (2022-12-01) -
ACCURACY ANALYSIS OF AIRCRAFT POSITIONING USING GPS DUAL RECEIVERS IN AERIAL NAVIGATION
by: Kamil KRASUSKI, et al.
Published: (2022-06-01) -
A Novel KGP Algorithm for Improving INS/GPS Integrated Navigation Positioning Accuracy
by: Huibing Zhang, et al.
Published: (2019-04-01) -
Comparative Study of Positional Accuracies Using Three GPS Receivers
by: O.J. Nnamani, et al.
Published: (2020-04-01) -
Analysis of BDS/GPS Signals’ Characteristics and Navigation Accuracy for a Geostationary Satellite
by: Meng Wang, et al.
Published: (2021-05-01)