Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily
leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural …

Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

Although fingerprint-based methods could achieve high location accuracy for device-free
indoor localization, it requires cost-expensive massive labeling. In order to fully exploit the …

The fingerprint positioning has achieved remarkable results in indoor localization tasks, but
the method usually relies on a large amount of fingerprint data to build a fingerprint …

In recent years, deep-learning-based WiFi fingerprinting has been intensively studied as a
promising technology for providing accurate indoor location services. However, it still …

Develo** a reliable and accurate indoor localization system is a crucial step for creating a
seamless and interactive user-device experience in nearly all intelligent internet of things …

Classifying malicious traffic, which can trace the lineage of attackers' malicious families, is
fundamental to safeguarding cybersecurity. However, the deep learning approaches …

Due to the inability of GPS (or other GNSS methods) to provide satisfactory precision for the
indoor location scenario, indoor positioning systems resort to other signals already available …