Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

The Internet of Things (IoT) offers transformative potential when combined with Machine
Learning (ML), but labeling diverse IoT data remains challenging. To address this, we …

Wireless networked control systems (WNCS) are at the forefront of academic and industrial
efforts, due to the high deployment flexibility and low cost offered by their untethered …

Location-based services such as autonomous vehicles, drones, and indoor positioning
require precise and scalable distance estimates. The bias and variance of range estimators …

Comprehending the quality of links in diverse temporal and spatial environments is one of
the critical steps in enhancing the performance of wireless applications. The increasing …

Enabling precise indoor localization in a cheap and small package, Ultra-Wideband (UWB)
transceivers bring decimetre-accurate ranging to resource-constrained IoT devices. Due to …

Ultra-wideband (UWB) technology, known for its precise distance measurement capabilities,
is widely utilized in indoor localization and ranging applications. However, recent UWB …

Demo: An Affordable and Easy-to-Setup Ground Truth System to Facilitate Localization
Research Page 1 Demo: An Affordable and Easy-to-Setup Ground Truth System to …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

With the rapid proliferation of the Internet of Things (IoT), low-power, connected devices
have become ubiquitous due to their versatility, low cost, and ease of integration into larger …