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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 …
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …
Paving the way with machine learning for seamless indoor–outdoor positioning: A survey
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …
[HTML][HTML] Air pollution exposure monitoring using portable low-cost air quality sensors
Urban environments with a high degree of industrialization are infested with hazardous
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
Deep-learning-based multivariate time-series classification for indoor/outdoor detection
Recently, the topic of indoor outdoor detection (IOD) has seen its popularity increase, as IOD
models can be leveraged to augment the performance of numerous Internet of Things and …
models can be leveraged to augment the performance of numerous Internet of Things and …
TabCLR: Contrastive learning representation of tabular data classification for indoor-outdoor detection
Indoor-outdoor detection (IOD) has gained prominence recently, particularly in positioning
technology, leveraging smartphone-embedded sensors. It is pivotal in pedestrian …
technology, leveraging smartphone-embedded sensors. It is pivotal in pedestrian …
[HTML][HTML] Indoor–outdoor detection in mobile networks using quantum machine learning approaches
F Phillipson, RS Wezeman, I Chiscop - Computers, 2021 - mdpi.com
Communication networks are managed more and more by using artificial intelligence.
Anomaly detection, network monitoring and user behaviour are areas where machine …
Anomaly detection, network monitoring and user behaviour are areas where machine …
A novel approach for user equipment indoor/outdoor classification in mobile networks
The ability to locate users and estimate traffic in mobile networks is still one of the major
challenges when it comes to planning and optimizing the networks. Since indoor location is …
challenges when it comes to planning and optimizing the networks. Since indoor location is …
Seamless indoor-outdoor infrastructure-free navigation for pedestrians and vehicles with GNSS-aided foot-mounted IMU
With the highly development of navigation techniques during the past decades, the demand
for seamless indoor-outdoor navigation is growing from different application fields especially …
for seamless indoor-outdoor navigation is growing from different application fields especially …
IODnet: Indoor/Outdoor Telecommunication Signal Detection through Deep Neural Network
M Abdollahi, S Mashhadi… - 2023 IEEE 16th …, 2023 - ieeexplore.ieee.org
In many Internet of Things (IoT) applications, understanding the device's location can be
highly significant for various reasons, including asset tracking and inventory management …
highly significant for various reasons, including asset tracking and inventory management …
Mobile user environment detection using deep learning based multi-output classification
Future mobile networks can hugely benefit from cognition of mobile user behavior. Indeed,
knowing what/when/where/how the user consumes their mobile services can notably …
knowing what/when/where/how the user consumes their mobile services can notably …