Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
During the COVID-19 pandemic, reported incidence data played a central role in public health surveil...
When designing control strategies for an infectious disease it is critical to identify the key pathw...
Given the popularity of 360° images on social media platforms, 360° image compression becomes a crit...
Finite element analysis of knee joint contact mechanics is computationally expensive, which has moti...
Video compression aims to maximize reconstruction quality with minimal bitrates. Beyond standard dis...
High-Resolution Transmission Electron Microscopy (HRTEM) enables atomic-scale observation of nucleat...
Capturing the structured mixing within a population is key to the reliable projection of infectious ...
Visual-language grounding aims to establish semantic correspondences between natural language and vi...
Neurotoxic proteins drive the most pathophysiological effects of animal envenomation, yet it remains...
In this study, we present a conditional diffusion-transformer framework for generating ensembles of ...
Understanding spatial affordances -- comprising the contact regions of object interaction and the co...
Inter-object relations underpin spatial intelligence, yet existing representations -- linguistic pre...
Navigation in cluttered environments often requires robots to tolerate contact with movable or defor...
Background: Nontyphoidal Salmonella enterica (NTS) is a major public-health threat in the United Sta...
Recent advances in generative image compression (GIC) have delivered remarkable improvements in perc...
Three-dimensional chromatin organization is essential for gene regulation and is commonly measured u...
To address the challenge of aerial visual place recognition (VPR) problem under significant altitude...
This paper introduces an online inspection algorithm that enables an autonomous UAV to fly around a ...
A dataset server must often distribute the same large payload to many clients, incurring massive com...
Synthesizing text-driven 3D human motion within realistic scenes requires learning both semantic int...
Joint reconstruction of 3D human and object from a single image is an active research area, with piv...