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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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Artificial Neural Network-Aided Computational Approach for Mechanophenotyping of Biological Cells Using Atomic Force Microscopy.

The artificial neural network (ANN) based models have shown the potential to provide alternate data-...

First Contact, First Learnings - Nursing Staff Approaching Robotics in Health Care.

Systems for service and assistance robotics become relevant in nursing care. Workshops with target u...

Non-contact wearable synchronous measurement method of electrocardiogram and seismocardiogram signals.

Cardiovascular disease is one of the leading threats to human lives and its fatality rate still rise...

ARTIFICIAL NEURAL NETWORK MODELS FOR ESTIMATION OF ELECTRIC FIELD INTENSITY AND MAGNETIC FLUX DENSITY IN THE PROXIMITY OF OVERHEAD TRANSMISSION LINE.

This paper considers the application of artificial neural network (ANN) models for electric field in...

DeepHomo2.0: improved protein-protein contact prediction of homodimers by transformer-enhanced deep learning.

Protein-protein interactions play an important role in many biological processes. However, although ...

Spiking Neural Networks and Mathematical Models.

Neural networks are applied in various scientific fields such as medicine, engineering, pharmacology...

DockNet: high-throughput protein-protein interface contact prediction.

MOTIVATION: Over 300 000 protein-protein interaction (PPI) pairs have been identified in the human p...

Single-frame 3D lensless microscopic imaging via deep learning.

Since the pollen of different species varies in shape and size, visualizing the 3-dimensional struct...

Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data.

Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information o...

Effect of variable transmission on body-powered prosthetic grasping.

Body-powered upper-limb prostheses remain a popular option for those with limb absence due to their ...

A proposed computer vision model for running gait assessment.

Running gait assessment is critical in performance optimization and injury prevention. Traditional a...

Comparison of Mechanistic and Learning-based Tip Force Estimation on Tendon-driven Soft Robotic Catheters.

Researchers have adopted mechanistic and learning-based approaches for tip force estimation on soft ...

Classification of Sleep-Wake State in Ballistocardiogram system based on Deep Learning.

Sleep state classification is essential for managing and comprehending sleep patterns, and it is usu...

Privacy-Preserving British Sign Language Recognition Using Deep Learning.

Sign language is a means of communication between the deaf community and normal hearing people who u...

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of t...

Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning.

With the rapid progress of deep learning in cryo-electron microscopy and protein structure predictio...

Learning spatial structures of proteins improves protein-protein interaction prediction.

Spatial structures of proteins are closely related to protein functions. Integrating protein structu...

Surveillance of few-mode fiber-communication channels with a single hidden layer neural network.

Multi- and few-mode fibers (FMFs) promise to enhance the capacity of optical communication networks ...

Rapid SARS-CoV-2 Inactivation in a Simulated Hospital Room Using a Mobile and Autonomous Robot Emitting Ultraviolet-C Light.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since 2019 has made mask-...

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