Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
BACKGROUND: MR-based methods for attenuation correction (AC) in PET/MRI either neglect attenuation of bone, or use MR-signal derived information about bone, which leads to a bias in quantification of tracer uptake in PET. In a previous study, we presented a PET/MRI specific MR coil with an integrated transmission source (TX) system allowing for direct measurement of attenuation. In phantom measure...
BACKGROUND: Recent advancements in continuum robotics have accentuated developing efficient and stable controllers to handle shape deformation and compliance. The control of continuum robots (CRs) using physical sensors attached to the robot, particularly in confined spaces, is difficult due to their limited accuracy in three-dimensional deflections and challenging localisation. Therefore, using n...
An electrical device that transforms the electricity into the waves of radio and vice versa is termed the antenna. Its main deployment is in the trans...
Visual sensing of the environment is crucial for flying an unmanned aerial vehicle (UAV) and is a centerpiece of many related applications. The abilit...
Anticipating intensive care unit (ICU) occupancy is critical in supporting decision makers to impose (or relax) measures that mitigate COVID-19 transm...
The development of highly compliant materials and actuators has enabled the design of soft robots that can be applied in rescue operations, in secure ...
This article presents an adaptive control method for dual-arm robot systems to perform bimanual tasks under modeling uncertainties. Different from the...
We introduce a Gaussian-accelerated molecular dynamics (GaMD), deep learning (DL), and free energy profiling workflow (GLOW) to predict molecular dete...
Tactile feedback is essential to make robots more agile and effective in unstructured environments. However, high-resolution tactile skins are not wid...
This work focuses on the problem of non-contact measurement for vegetables in agricultural automation. The application of computer vision in assisted ...
Human-robot collaboration is playing more and more important roles in current deployments of robotic systems in our lives. Haptic perception and intel...
Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extracti...
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutate...
In order to effectively detect the contact state between the operator and the collaborative robot, a sensor with excellent external force detection pe...
The notion of "sociotechnical" is an important concept for interdisciplinary research on the transformation of the energy supply. Different branches o...
The transition from the lab to natural environments is an archetypal challenge in robotics. While larger robots can manage complex limb-ground interac...
In order to develop a non-contact and simple gesture recognition technology, a recognition method with a charge induction array of nine electrodes is ...
The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov ...
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical ...
COVID-19 is a life threatening disease which has a enormous global impact. As the cause of the disease is a novel coronavirus whose gene information i...