Seamless positioning and navigation requires an integration of outdoor and indoor positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …
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 …
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 …
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 …
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 …
A single Radio-Frequency Interference (RFI) is a disturbance source of modern wireless systems depending on Global Navigation Satellite Systems (GNSS) and Satellite …
An RSS transform–based weighted k-nearest neighbor (WKNN) indoor positioning algorithm, Q-WKNN, is proposed to improve the positioning accuracy and real-time …
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 …
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 …