Machine learning in indoor visible light positioning systems: A review
HQ Tran, C Ha - Neurocomputing, 2022 - Elsevier
Developing a wireless indoor positioning system with high accuracy, reliability, and
reasonable cost has been the focus of many researchers. Recent studies have shown that …
reasonable cost has been the focus of many researchers. Recent studies have shown that …
[图书][B] Optical wireless communications: system and channel modelling with Matlab®
The 2nd Edition of Optical Wireless Communications: System and Channel Modelling with
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
MATLAB® with additional new materials, is a self-contained volume that provides a concise …
Visible light positioning as a next-generation indoor positioning technology: A tutorial
Indoor positioning technology has become undisputedly pervasive in modern society. It can
be used for numerous applications in various environments, ranging from agriculture to …
be used for numerous applications in various environments, ranging from agriculture to …
An accurate visible light positioning system using regenerated fingerprint database based on calibrated propagation model
This paper reports the development of a practical visible light positioning (VLP) system using
received signal strength. The indoor localization system is accurate and easy to train and …
received signal strength. The indoor localization system is accurate and easy to train and …
Accurate indoor visible light positioning using a modified pathloss model with sparse fingerprints
IM Abou-Shehada, AF AlMuallim… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
Visible light communications (VLC) based indoor positioning is a promising approach to
serve an increasing need for location-aware services. Received signal strength (RSS) …
serve an increasing need for location-aware services. Received signal strength (RSS) …
Meet ML. NET
S Mukherjee, S Mukherjee - ML. NET Revealed: Simple Tools for Applying …, 2021 - Springer
Abstract Machine learning is nothing but a means of enabling the computer to have a
sophisticated sense of proximity between several things. Let me elaborate that point for you …
sophisticated sense of proximity between several things. Let me elaborate that point for you …
[PDF][PDF] Impact of different data types on classifier performance of random forest, naive bayes, and k-nearest neighbors algorithms
A Singh, MN Halgamuge… - International …, 2017 - minerva-access.unimelb.edu.au
This study aims to evaluate impact of three different data types (Text only, Numeric Only and
Text+ Numeric) on classifier performance (Random Forest, k-Nearest Neighbor (kNN) and …
Text+ Numeric) on classifier performance (Random Forest, k-Nearest Neighbor (kNN) and …
Visible light integrated positioning and communication: A multi-task federated learning framework
Recently, visible light positioning and visible light communication are becoming a promising
technology for integrated sensing and communication. However, the isolated design of …
technology for integrated sensing and communication. However, the isolated design of …
Fingerprint-based indoor positioning system using visible light communication—A novel method for multipath reflections
HQ Tran, C Ha - Electronics, 2019 - mdpi.com
A highly accurate indoor positioning under the effect of multipath reflections has been a
prominent challenge for recent research. This paper proposes a novel indoor visible light …
prominent challenge for recent research. This paper proposes a novel indoor visible light …
An INS/WiFi indoor localization system based on the Weighted Least Squares
For smartphone indoor localization, an INS/WiFi hybrid localization system is proposed in
this paper. Acceleration and angular velocity are used to estimate step lengths and …
this paper. Acceleration and angular velocity are used to estimate step lengths and …