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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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Showing 253-273 of 5,074 articles
Parallel prediction of dengue cases with different risks in Mexico using an artificial neural network model considering meteorological data.

In 2022, Mexico registered an increase in dengue cases compared to the previous year. On the other h...

Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis.

OBJECTIVE: To develop and validate a neural network to estimate hip contact forces (HCF), and lower ...

Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving...

Fast reconstruction of EEG signal compression sensing based on deep learning.

When traditional EEG signals are collected based on the Nyquist theorem, long-time recordings of EEG...

Optimization of Torque-Control Model for Quasi-Direct-Drive Knee Exoskeleton Robots Based on Regression Forecasting.

The choice of torque curve in lower-limb enhanced exoskeleton robots is a key problem in the control...

Deep learning in modeling protein complex structures: From contact prediction to end-to-end approaches.

Protein-protein interactions play crucial roles in many biological processes. Traditionally, protein...

Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI).

A large volume of data is being captured through the Phasor Measurement Unit (PMU), which opens new ...

Two-Stage Micropyramids Enhanced Flexible Piezoresistive Sensor for Health Monitoring and Human-Computer Interaction.

High-performance flexible piezoresistive sensors are becoming increasingly essential in various nove...

Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer.

Bladder cancer is one of the most common cancer types in the urinary system. Yet, current bladder ca...

Inverse radon transform with deep learning: an application in cardiac motion correction.

. This paper addresses performing inverse radon transform (IRT) with artificial neural network (ANN)...

Development of a master-slave 3D printed robotic surgical finger with haptic feedback.

Robotic surgery started nearly 30 years ago. It has achieved telepresence and the performance of rep...

Skin preparation-free, stretchable microneedle adhesive patches for reliable electrophysiological sensing and exoskeleton robot control.

High-fidelity and comfortable recording of electrophysiological (EP) signals with on-the-fly setup i...

Approximating Projections of Conformational Boltzmann Distributions with AlphaFold2 Predictions: Opportunities and Limitations.

Protein thermodynamics is intimately tied to biological function and can enable processes such as si...

Leveraging machine learning for taxonomic classification of emerging astroviruses.

Astroviruses are a family of genetically diverse viruses associated with disease in humans and birds...

Termiticidal, biochemical, and morpho-histological effects of botanical based nanoemulsion against a subterranean termite, Shiraki.

Recently, the use of nanopesticides has shown significant efficacy in the control of many pests. How...

Research on a UAV spray system combined with grid atomized droplets.

BACKGROUNDS: UAVs for crop protection hold significant potential for application in mountainous orch...

An energy-aware heart disease prediction system using ESMO and optimal deep learning model for healthcare monitoring in IoT.

The Internet of Things (IoT), which provides seamless connectivity between people and things, improv...

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