Magnetic resonance imaging (MRI) is crucial for its superior soft tissue contrast and high
spatial resolution. Integrating deep learning algorithms into MRI reconstruction has …

Monitoring the health status of patients in the Intensive Care Unit (ICU) is a critical aspect of
providing superior care and treatment. The availability of large-scale electronic health …

Transportation agencies need to assess ramp metering performance when deploying or
expanding a ramp metering system. The evaluation of a ramp metering strategy is primarily …

Textual backdoor attacks pose significant security threats. Current detection approaches,
typically relying on intermediate feature representation or reconstructing potential triggers …

We study multi-agent reinforcement learning in the setting of episodic Markov decision
processes, where many agents cooperate via communication through a central server. We …

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

To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

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

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 …

Magnetic resonance imaging (MRI) is renowned for its exceptional soft tissue contrast and
high spatial resolution, making it a pivotal tool in medical imaging. The integration of deep …