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The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions
Industry 4.0 transforms the manufacturing sector with dynamic, networked, complex
industrial environments. These environments generate vast amounts of data and require …
industrial environments. These environments generate vast amounts of data and require …
Machine learning assists IoT localization: a review of current challenges and future trends
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 …
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
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 …
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
Wireless indoor localization is a significant challenge because of the noise generated by
building structures, electromagnetic fields, and distances between connected nodes inside a …
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
Indoor localization systems have become more and more popular. Several technologies are
intensively studied with application to high precision object localization in such …
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 …
sensor networks wherever global navigation satellite systems (GNSSs) are unreachable. For …
Rss fingerprinting dataset size reduction using feature-wise adaptive k-means clustering
Modern IoT devices, that include smartphones and wearables, usually have limited
resources. They require efficient methods to optimize the use of internal storage, provide …
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
In recent decades, there have been significant research efforts focusing on wireless indoor
localization systems, with fingerprinting techniques based on received signal strength …
localization systems, with fingerprinting techniques based on received signal strength …
Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
Machine learning models have become an essential tool in current indoor positioning
solutions, given their high capa-bilities to extract meaningful information from the …
solutions, given their high capa-bilities to extract meaningful information from the …
An RFID Cartesian portal enables SAR-based localization for worker safety
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 …
SAR-based localization for worker safety applications. It is part of the SENERGY Project …