A Low-Cost and Efficient Spatial–Temporal Model for Indoor Localization “H-LSTMF”-Reference-Cited by-同舟云学术

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A Low-Cost and Efficient Spatial–Temporal Model for Indoor Localization “H-LSTMF”

Published:2023-03-15 Issue:6 Volume:23 Page:6117-6128
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Kumar Ritesh¹^ORCID,Singh Sunakshi¹,Chaurasiya Vijay Kumar¹

Affiliation:

1. Department of Information Technology, Indian Institute of Information Technology at Allahabad (IIIT-Allahabad), Prayagraj, India

Funder

Ministry of Education, Government of India

Design Innovation Center (DIC) SPOKE, Indian Institute of Information Technology at Allahabad (IIIT-Allahabad), Prayagraj

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10068826/10044691.pdf?arnumber=10044691

Reference70 articles.

1. BLE Indoor Localization based on Improved RSSI and Trilateration

2. A Flood-Discharge-Based Spatio-Temporal Diffusion Method for Multi-Target Traffic Hotness Construction From Trajectory Data

3. A 3-dimensional triangulation scheme to improve the accuracy of indoor localization for IoT services

4. Density-based clustering based on hierarchical density estimates;campello;Proc Pacific–Asia Conf Knowl Discovery Data Mining,2013

5. From RSSI to CSI

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1. H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning;Internet of Things;2024-10

2. A Survey on Scalable Wireless Indoor Localization: Techniques, Approaches and Directions;Wireless Personal Communications;2024-06

3. Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning;IEEE Access;2024

4. LoT: A Transformer-Based Approach Based on Channel State Information for Indoor Localization;IEEE Sensors Journal;2023-11-15

5. Drone-Assisted Fingerprint Localization Based on Kernel Global Locally Preserving Projection;Drones;2023-07-20

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