In this paper, we address the problem of Multiple Transmitter Localization (MTL). MTL is to
determine the locations of potential multiple transmitters in a field, based on readings from a …

In this paper, we address the problem of Multiple Transmitters Localization (MTL), ie, to
determine the locations of potential multiple transmitters in a field, based on readings from a …

This paper outlines the components of a digital spectrum twin (DST) and potential
application maps that can inform automated or enhanced spectrum management decisions …

In orchards, tree-level localization of robots is critical for smart agriculture applications like
precision disease management and targeted nutrient dispensing. However, prior solutions …

This paper describes a blind transmitter localization technique based on the deep neural
network (DNN) framework. Blind localization assumes no previous knowledge on the …

As the radio spectrum has become the bottleneck resource with increasing volume of mobile
data and ultra-dense network deployments, it is crucial to use spectrum more flexibly in time …

A quantum sensor (QS) is able to measure various physical phenomena with extreme
sensitivity. QSs have been used in several applications such as atomic interferometers, but …

This paper introduces an optimal control framework to address the inverse problem using a
learned regularizer, with applications in image reconstruction. We build upon the concept of …

Touch pointing is one of the primary interaction actions on mobile devices. In this research,
we aim to (1) model touch pointing for people with Parkinson's Disease (PD), and (2) detect …

As demand for radio spectrum increases with the widespread use of wireless devices,
effective spectrum allocation requires more flexibility in terms of time, space, and frequency …