Indoor localization using data augmentation via selective generative adversarial networks

W Njima, M Chafii, A Chorti, RM Shubair… - IEEE access, 2021 - ieeexplore.ieee.org
Several location-based services require accurate location information in indoor
environments. Recently, it has been shown that deep neural network (DNN) based received …

MobileNet and knowledge distillation-based automatic scenario recognition method in vehicle-to-vehicle systems

J Yang, Y Wang, H Zhao, G Gui - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic scenario recognition (ASR) based on channel status information (CSI) is an
important auxiliary technology for various wireless communication systems, especially …

GRIDLoc: A Gradient Blending and Deep Learning based Localization Approach Combining RSS and CSI

Q Dai, B Qian, GO Boateng, X Guo… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Received Signal Strength (RSS) and Channel State Information (CSI) are two commonly
used fingerprints in fingerprint-based localization systems. Combining RSS and CSI has the …

Indoor localization under limited measurements: A cross-environment joint semi-supervised and transfer learning approach

MI AlHajri, RM Shubair, M Chafii - 2021 IEEE 22nd International …, 2021 - ieeexplore.ieee.org
The development of highly accurate deep learning methods for indoor localization is often
hindered by the unavailability of sufficient data measurements in the desired environment to …

A survey of machine learning in pedestrian localization systems: Applications, open issues and challenges

VF Mirama, LE Diez, A Bahillo, V Quintero - IEEE Access, 2021 - ieeexplore.ieee.org
With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …

A CSI-based indoor positioning system using single UWB ranging correction

K Long, DF Nsalo Kong, K Zhang, C Tian, C Shen - Sensors, 2021 - mdpi.com
A fingerprint-based localization system is an economic way to solve an indoor positioning
problem. However, the traditional off-line fingerprint collection stage is a time-consuming …

VLC localization: deep learning models by Kalman filter algorithm combined with RSS

WM Salama, MH Aly, ES Amer - Optical and Quantum Electronics, 2022 - Springer
In this paper, a new framework is presented for indoor visible light communication (VLC)
system, based on Yolo v3, EfficientNetB3, and DenseNet121 deep learning (DL) models, as …

Spatial-temporal traceability for cyber-physical industry 4.0 systems

Z Zhao, M Zhang, W Wu, GQ Huang, L Wang - Journal of Manufacturing …, 2024 - Elsevier
The COVID-19 outbreak has posed significant challenges to end-to-end global supply chain
visibility and transparency, with city lockdowns, factory shutdowns, flight cancellations, cross …

[PDF][PDF] A cascaded machine learning approach for indoor classification and localization using adaptive feature selection

MI AlHajri, NT Ali, RM Shubair - AI for Emerging Verticals: Human …, 2020 - researchgate.net
Sensor-based indoor tracking and positioning [1–8] facilitate evolving Internet-of-Things
(IoT) applications [9–16], and their performance is significantly enhanced by identifying the …

Children tracking system based on zigbee wireless network and neural network

N Ahmed, SK Gharghan, AH Mutlag… - Journal of …, 2023 - journal.mtu.edu.iq
The safety of children is one of the fundamental concerns of parents. Recently, child
kidnapping has increased by a large percentage, some children have been found, and …