Experience: Pushing indoor localization from laboratory to the wild

J Ni, F Zhang, J **ong, Q Huang, Z Chang… - Proceedings of the 28th …, 2022 - dl.acm.org
While GPS-based outdoor localization has become a norm, very few indoor localization
systems have been deployed and used. In this paper, we share our 5-year experience on …

The Wisdom of 1,170 Teams: Lessons and Experiences from a Large Indoor Localization Competition

Y Hu, X Fan, Z Yin, F Qian, Z Ji, Y Shu, Y Han… - Proceedings of the 29th …, 2023 - dl.acm.org
We organized an online fingerprint-based indoor localization competition in 2021. It
attracted 1,170 teams worldwide. The teams were provided with a 60 GB dataset including …

Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings

M Styła, B Kiczek, G Kłosowski, T Rymarczyk… - Energies, 2022 - mdpi.com
Smart buildings are becoming a new standard in construction, which allows for many
possibilities to introduce ergonomics and energy savings. These contain simple …

A Big Data-Driven Unsupervised Indoor and Outdoor Detection Approach Using Deep Contrastive Learning

J Zhu - 2024 4th International Conference on Consumer …, 2024 - ieeexplore.ieee.org
This With the rapid development of mobile internet, people's lives have become more
convenient, such as taking taxis with phones and so on. In the process of people enjoying …

[PDF][PDF] Indoor vs. Outdoor Identification Using Air Quality Sensors Based on Machine Learning Approaches

Q **a - 2024 - helda.helsinki.fi
Air pollution poses a serious health risk, particularly in densely populated urban areas with
high levels of human-made emissions. Traditional air quality monitoring stations are …