An overview of machine learning techniques for radiowave propagation modeling

A Seretis, CD Sarris - IEEE Transactions on Antennas and …, 2021 - ieeexplore.ieee.org
We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …

Recent advances in pedestrian inertial navigation based on smartphone: A review

Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

PSOSVRPos: WiFi indoor positioning using SVR optimized by PSO

J Bi, M Zhao, G Yao, H Cao, Y Feng, H Jiang… - Expert Systems with …, 2023 - Elsevier
Wireless fidelity (WiFi) indoor positioning has attracted the attention of thousands of
researchers. It faces many challenges, and the primary problem is the low positioning …

Hi-Loc: Hybrid indoor localization via enhanced 5G NR CSI

Y Ruan, L Chen, X Zhou, G Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fifth-generation (5G) networks have been massively deployed in commerce. In addition, the
new features introduced by 5G networks have been recognized to be beneficial to wireless …

Water quality prediction in the luan river based on 1-drcnn and bigru hybrid neural network model

J Yan, J Liu, Y Yu, H Xu - Water, 2021 - mdpi.com
The current global water environment has been seriously damaged. The prediction of water
quality parameters can provide effective reference materials for future water conditions and …

Daily prediction of the arctic sea ice concentration using reanalysis data based on a convolutional lstm network

Q Liu, R Zhang, Y Wang, H Yan, M Hong - Journal of Marine Science and …, 2021 - mdpi.com
To meet the increasing sailing demand of the Northeast Passage of the Arctic, a daily
prediction model of sea ice concentration (SIC) based on the convolutional long short-term …

A novel wind speed-sensing methodology for wind turbines based on digital twin technology

Y Li, X Shen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Wind speed sensors of wind turbines are prone to suffer from performance degeneration or
even drastic failures due to their inherent issues or environmental influence, which directly …

LSTM-GAN-AE: A promising approach for fault diagnosis in machine health monitoring

H Liu, H Zhao, J Wang, S Yuan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recent years have witnessed that real-time health monitoring for machine gains more and
more importance with the goal of achieving fault diagnosis (FD) and predictive maintenance …

An efficient and robust fingerprint based localization method for multi floor indoor environment

Y Zhao, W Gong, L Li, B Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Fingerprint-based indoor localization is one of the most promising solutions for various
Intelligent Internet of Things (IIoT) systems. However, recent studies show that the key …

DeepWiPos: A deep learning-based wireless positioning framework to address fingerprint instability

X Yang, Y Zhuang, F Gu, M Shi, X Cao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Wireless fingerprint localization technologies have drawn significant attention because of
their ubiquitous infrastructure and low energy consumption. However, they often suffer from …