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 …

RSSI and machine learning-based indoor localization systems for smart cities

R Rathnayake, MWP Maduranga, V Tilwari… - Eng, 2023 - mdpi.com
The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has
significantly increased the demand for Location-Based Services (LBS) in today's world …

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 single-anchor localization method using ultra-wide bandwidth systems

T Wang, H Zhao, Y Shen - Applied Sciences, 2019 - mdpi.com
Ultra-wideband technology has the merits of high temporal resolution and stability, and it
has been widely used for high-accuracy localization and tracking. However, most ultra …

Warehouse drone: indoor positioning and product counter with virtual fiducial markers

M Ekici, AÇ Seçkin, A Özek, C Karpuz - Drones, 2022 - mdpi.com
The use of robotic systems in logistics has increased the importance of precise positioning,
especially in warehouses. The paper presents a system that uses virtual fiducial markers to …

Xgbloc: Xgboost-based indoor localization in multi-building multi-floor environments

N Singh, S Choe, R Punmiya, N Kaur - Sensors, 2022 - mdpi.com
Location-based indoor applications with high quality of services require a reliable, accurate,
and low-cost position prediction for target device (s). The widespread availability of WiFi …

Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites

HE Balcıoğlu, AÇ Seçkin - Archive of Applied Mechanics, 2021 - Springer
In recent years, it became possible to use different methods for the analysis of mechanical
systems with the help of computers to learn like humans and by increasing their interaction …

A simplistic and cost-effective design for real-world development of an ambient assisted living system for fall detection and indoor localization: proof-of-concept

N Thakur, CY Han - Information, 2022 - mdpi.com
Falls, highly common in the constantly increasing global aging population, can have a
variety of negative effects on their health, well-being, and quality of life, including restricting …

Real-time asset tracking for Smart Manufacturing

S Krishnan, RX Mendoza Santos - … Industry 4.0: The Model Factory as the …, 2021 - Springer
The ability to track assets in real-time is critical to manufacturing and is an essential
component for smart factories. Such a Real-Time Location System (RTLS) for asset tracking …

WiFi fingerprinting based floor detection with hierarchical extreme learning machine

A Alitaleshi, H Jazayeriy… - 2020 10th International …, 2020 - ieeexplore.ieee.org
The indoor location-based services are high demand in the market, and precise location
estimation in multi-floor buildings has received significant attention in recent years. In these …