Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

A survey of recent indoor localization scenarios and methodologies

T Yang, A Cabani, H Chafouk - Sensors, 2021 - mdpi.com
Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

A survey of machine learning techniques for indoor localization and navigation systems

P Roy, C Chowdhury - Journal of Intelligent & Robotic Systems, 2021 - Springer
In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

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 …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

An explainable hybrid deep learning architecture for WiFi-based indoor localization in Internet of Things environment

Z Turgut, AG Kakisim - Future Generation Computer Systems, 2024 - Elsevier
The indoor positioning service is one of the essential services needed in the Internet of
Things ecosystem. Recently, many researchers have focused on the fingerprinting method …

An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization

P Kumar, GG Nair - Biomedical Signal Processing and Control, 2021 - Elsevier
Decision tree algorithm is one of the algorithm which is easily understandable and
interpretable algorithm used in both training and application purpose during breast cancer …

A comprehensive survey of machine learning based localization with wireless signals

D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Deep CNN for indoor localization in IoT-sensor systems

W Njima, I Ahriz, R Zayani, M Terre, R Bouallegue - Sensors, 2019 - mdpi.com
Currently, indoor localization is among the most challenging issues related to the Internet of
Things (IoT). Most of the state-of-the-art indoor localization solutions require a high …

Neural network-based Alzheimer's patient localization for wireless sensor network in an indoor environment

Z Munadhil, SK Gharghan, AH Mutlag, A Al-Naji… - IEEE …, 2020 - ieeexplore.ieee.org
The number of older adults with Alzheimer's disease is increasing every year. The
associated memory problems cause many difficulties for Alzheimer's patients and their …