[HTML][HTML] A comprehensive review of indoor/outdoor localization solutions in IoT era: Research challenges and future perspectives
SM Asaad, HS Maghdid - Computer Networks, 2022 - Elsevier
The number of connected mobile devices and Internet of Things (IoT) is growing around us,
rapidly. Since most of people's daily activities are relying on these connected things or …
rapidly. Since most of people's daily activities are relying on these connected things or …
A quantum algorithm for rf-based fingerprinting localization systems
Fingerprinting is one of the mainstream technologies for localization. However, it needs
significant storage overhead and running time, preventing it from scaling to support world …
significant storage overhead and running time, preventing it from scaling to support world …
Vaccinated, what next? an efficient contact and social distance tracing based on heterogeneous telco data
The demand for safety-boosting systems is always increasing, especially to limit the rapid
spread of COVID-19. Real-time social distance preservation is an essential application …
spread of COVID-19. Real-time social distance preservation is an essential application …
Qloc: A realistic quantum fingerprint-based algorithm for large scale localization
Fingerprinting is one of the most commonly used techniques for indoor localization due to
their high accuracy in the presence of the wireless channel noise. Nonetheless, they require …
their high accuracy in the presence of the wireless channel noise. Nonetheless, they require …
Quantum fingerprinting for heterogeneous devices localization
In this paper, we present QHFP, a device-independent quantum fingerprint matching
algorithm that addresses two of the issues for realizing worldwide ubiquitous large-scale …
algorithm that addresses two of the issues for realizing worldwide ubiquitous large-scale …
[HTML][HTML] extendGAN+: Transferable Data Augmentation Framework Using WGAN-GP for Data-Driven Indoor Localisation Model
For indoor localisation, a challenge in data-driven localisation is to ensure sufficient data to
train the prediction model to produce a good accuracy. However, for WiFi-based data …
train the prediction model to produce a good accuracy. However, for WiFi-based data …
Improving Depth Estimation using Location Information
A Zaitoon, HED Abd El Munim… - 2021 16th International …, 2021 - ieeexplore.ieee.org
The ability to accurately estimate depth information is crucial for many autonomous
applications to recognize the surrounded environment and predict the depth of important …
applications to recognize the surrounded environment and predict the depth of important …