Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
This paper aims to concurrently select and control off-the-shelf BLDC motors of industrial robots by using a synergistic model-based approach. The BLDC motors are considered with trapezoidal back-emf, where the three-phase (a,b,c) dynamics of motors are modeled in a mechatronic powertrain model of the robot for the selection and control problem, defining it as a multi-objective dynamic optimizatio...
Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and received increasing attention during the COVID-19 pandemic. Clinical findings show that COVID-19 patients can have significantly low SpO before any obvious symptoms. Measuring an individual's SpO without having to come into contact with the person can lower the risk of cross contamination and blo...
In this paper, the fixed-time synchronization control for neural networks with discontinuous data communication is investigated. Due to the transmissi...
Snakes can bend their elongate bodies in various forms to traverse various environments. We understand well how snakes use lateral body bending to pus...
We present VoroIF-GNN (Voronoi InterFace Graph Neural Network), a novel method for assessing inter-subunit interfaces in a structural model of a prote...
Under spatially averaged measurements (SAMs) and deception attacks, this article mainly studies the problem of extended dissipativity output synchroni...
PURPOSE: To predict subject-specific local specific absorption rate (SAR) distributions of the human head for parallel transmission (pTx) systems at 7...
Joint attention is a pivotal mechanism underlying human ability to interact with one another. The fundamental nature of joint attention in the context...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to over 820,000 deaths each year primarily due to cirrho...
Swine coronaviruses (CoVs) have been found to cause infection in humans, suggesting that Suiformes might be potential intermediate hosts in CoV transm...
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new softw...
To improve the force/position control performance of robots in contact with the environment, this paper proposes a control scheme comprising dynamic p...
Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in r...
Microrobots for targeted drug delivery in blood vessels have attracted increasing interest from researchers. In this work, hydrogel-based capsule micr...
Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To ...
Estimating the accuracy of quaternary structural models of protein complexes and assemblies (EMA) is important for predicting quaternary structures an...
Droplet-based dPCR offers many advantages over chip-based dPCR, such as lower processing cost, higher droplet density, higher throughput, while requir...
The genome of Mycobacterium tuberculosis contains a relatively high percentage (10%) of genes that are poorly characterised because of their highly re...
Sense of Agency (SoA) is the feeling of control over one's actions and their outcomes. A well-established implicit measure of SoA is the temporal inte...
We present a novel soft exoskeleton providing active support for hand closing and opening. The main novelty is a different tendon routing, folded late...