Fingerprinting (FP) significantly improves the indoor localization performance in non-line-of-
sight-dominated areas. However, its deployment and maintenance is cost-intensive as it …

Recognizing human behaviors offers an effective approach to reduce building energy
consumption while maintaining indoor thermal comfort. This study proposed Wi-PTAB, a …

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 …

Radio fingerprinting (FP) technologies improve localization performance in challenging non-
line-of-sight environments. However, FP is expensive as its life cycle management requires …

In recent years, the field of mobile robot localization technology in Global Navigation
Satellite System (GNSS)-denied environments is a significant research focus …

While data quality and quantity directly affect the estimation accuracy of deep learning (DL)-
based localization techniques, obtaining empirical position data is often costly due to time …

Given that fingerprint localization methods can be effectively modeled as supervised
learning problems, machine learning has been employed for indoor localization tasks based …

With the rapid advancement of the Internet of Things and the popularization of mobile
Internet-based applications, the location-based service (LBS) has attracted much attention …

The COVID-19 pandemic has greatly affected human behavior, creating a need for
individuals to be more cautious about health and safety protocols. People are becoming …

Background Automated radio telemetry (ART) systems enable high-temporal resolution data
collection for species unsuited to satellite-based methods. A challenge of ART systems is …