Device fingerprinting for cyber-physical systems: a survey

V Kumar, K Paul - ACM Computing Surveys, 2023 - dl.acm.org
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …

Paving the way with machine learning for seamless indoor–outdoor positioning: A survey

M Mallik, AK Panja, C Chowdhury - Information Fusion, 2023 - Elsevier
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …

Robust RSSI-based indoor positioning system using K-means clustering and Bayesian estimation

B Pinto, R Barreto, E Souto, H Oliveira - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This work proposes a new indoor positioning system, named KLIP, that uses the-means
clustering algorithm to split the environment into different sets of log-distance propagation …

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 …

Clustering and hierarchical classification for high-precision RFID indoor location systems

EL Gomes, M Fonseca, AE Lazzaretti… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Object location in indoor environments is challenging when there is no physical contact, a
field of view, reflective materials, and an excess of obstacles. Several works propose using …

[HTML][HTML] Burns depth assessment using deep learning features

A Abubakar, H Ugail, KM Smith, AM Bukar… - Journal of Medical and …, 2020 - Springer
Purpose Burns depth evaluation is a lifesaving task and very challenging that requires
objective techniques to accomplish. While the visual assessment is the most commonly used …

[HTML][HTML] A survey for recent techniques and algorithms of geolocation and target tracking in wireless and satellite systems

A Elgamoudi, H Benzerrouk, GA Elango, R Landry Jr - Applied Sciences, 2021 - mdpi.com
A single Radio-Frequency Interference (RFI) is a disturbance source of modern wireless
systems depending on Global Navigation Satellite Systems (GNSS) and Satellite …

[HTML][HTML] An RSS transform—Based WKNN for indoor positioning

R Zhou, Y Yang, P Chen - Sensors, 2021 - mdpi.com
An RSS transform–based weighted k-nearest neighbor (WKNN) indoor positioning
algorithm, Q-WKNN, is proposed to improve the positioning accuracy and real-time …

Rank based iterative clustering (RBIC) for indoor localization

M Mallik, S Das, C Chowdhury - Engineering Applications of Artificial …, 2023 - Elsevier
In the current era, technological advancements have resulted in a spike in various sensor
data-intensive applications including indoor localization services. WiFi fingerprint-based …

An improved particle filter based indoor tracking system via joint Wi-Fi/PDR localization

Y Qian, X Chen - Measurement Science and Technology, 2020 - iopscience.iop.org
The development of indoor localization has been advanced by the rapid development of
intelligent devices. The well-known methods used for indoor localization such as Wi-Fi …