The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions

FA Alenizi, S Abbasi, AH Mohammed… - Computers & Industrial …, 2023 - Elsevier
Industry 4.0 transforms the manufacturing sector with dynamic, networked, complex
industrial environments. These environments generate vast amounts of data and require …

Machine learning assists IoT localization: a review of current challenges and future trends

R Shahbazian, G Macrina, E Scalzo, F Guerriero - Sensors, 2023 - mdpi.com
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …

Machine learning-based indoor localization and occupancy estimation using 5G ultra-dense networks

G Wainer, M Aloqaily - Simulation Modelling Practice and Theory, 2022 - Elsevier
Nowadays, mobile applications need the location of the running devices to operate properly.
This has increased the interest in indoor localization. Furthermore, the ability to sense …

An experimental comparison of RSSI-based indoor localization techniques using ZigBee technology

HS Fahama, K Ansari-Asl, YS Kavian… - IEEE Access, 2023 - ieeexplore.ieee.org
Wireless indoor localization is a significant challenge because of the noise generated by
building structures, electromagnetic fields, and distances between connected nodes inside a …

Transfer learning-based UWB indoor localization using MHT-MDC and clusterization-based sparse fingerprinting

B Morawska, P Lipinski, K Lichy… - Journal of Computational …, 2022 - Elsevier
Indoor localization systems have become more and more popular. Several technologies are
intensively studied with application to high precision object localization in such …

Graph-based radio fingerprint augmentation for deep-learning-based indoor localization

Y Chen, G Li, Y Tan, G Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Indoor localization plays an essential role in enabling location-based services (LBSs) for
sensor networks wherever global navigation satellite systems (GNSSs) are unreachable. For …

Rss fingerprinting dataset size reduction using feature-wise adaptive k-means clustering

L Klus, D Quezada-Gaibor… - … Congress on Ultra …, 2020 - ieeexplore.ieee.org
Modern IoT devices, that include smartphones and wearables, usually have limited
resources. They require efficient methods to optimize the use of internal storage, provide …

Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach

MZ Karakusak, H Kivrak, S Watson, MK Ozdemir - Sensors, 2023 - mdpi.com
In recent decades, there have been significant research efforts focusing on wireless indoor
localization systems, with fingerprinting techniques based on received signal strength …

Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification

D Quezada-Gaibor, J Torres-Sospedra… - … on Localization and …, 2022 - ieeexplore.ieee.org
Machine learning models have become an essential tool in current indoor positioning
solutions, given their high capa-bilities to extract meaningful information from the …

An RFID Cartesian portal enables SAR-based localization for worker safety

G Bandini, A Motroni, A Buffi, M Marracci… - … on Metrology for …, 2023 - ieeexplore.ieee.org
This paper presents a 3-axis Cartesian Portal moving a UHF-RFID antenna which enables
SAR-based localization for worker safety applications. It is part of the SENERGY Project …