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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 379-399 of 5,074 articles
Enhancing System Performance through Objective Feature Scoring of Multiple Persons' Breathing Using Non-Contact RF Approach.

Breathing monitoring is an efficient way of human health sensing and predicting numerous diseases. V...

A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers.

Nanophotonics exploits the best of photonics and nanotechnology which has transformed optics in rece...

Dynamic Research on Nonlinear Locomotion of Inchworm-Inspired Soft Crawling Robot.

Inchworm-inspired bionic soft crawling robot (SCR) composed of soft materials possesses preeminent a...

A deep learning based method for automatic analysis of high-throughput droplet digital PCR images.

Droplet digital PCR (ddPCR) is a technique for absolute quantification of nucleic acid molecules and...

Robust Control Based on Adaptive Neural Network for the Process of Steady Formation of Continuous Contact Force in Unmanned Aerial Manipulator.

Contact force control for Unmanned Aerial Manipulators (UAMs) is a challenging issue today. This pap...

Large-Scale Tactile Detection System Based on Supervised Learning for Service Robots Human Interaction.

In this work, a large-scale tactile detection system is proposed, whose development is based on a so...

Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment.

Artificial intelligence has significantly enhanced the research paradigm and spectrum with a substan...

Towards Haptic-Based Dual-Arm Manipulation.

Vision is the main component of current robotics systems that is used for manipulating objects. Howe...

Exploiting ferrofluidic wetting for miniature soft machines.

Miniature magnetic soft machines could significantly impact minimally invasive robotics and biomedic...

Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot.

Regardless of recent advances, humanoid robots still face significant difficulties in performing loc...

Geographical classification of malaria parasites through applying machine learning to whole genome sequence data.

Malaria, caused by Plasmodium parasites, is a major global health challenge. Whole genome sequencing...

An automated, fully-integrated nucleic acid analyzer based on microfluidic liquid handling robot technique.

On-site nucleic acid testing (NAT) plays an important role for disease monitoring and pathogen diagn...

Modeling and control of cable-driven continuum robot used for minimally invasive surgery.

Continuum robot has great advantages in minimally invasive surgery (MIS) due to the slenderness and ...

Non-Contact Vibro-Acoustic Object Recognition Using Laser Doppler Vibrometry and Convolutional Neural Networks.

Laser Doppler vibrometers (LDVs) have been widely adopted due to their large number of benefits in c...

Design and Gesture Optimization of a Soft-Rigid Robotic Hand for Adaptive Grasping.

Soft robotic hands are inherently safer and more compliant in robot-environment interaction than rig...

Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey.

Hyperspectral image (HSI) contains hundreds of adjacent spectral bands, which can effectively differ...

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...

Liquid metal droplet motion transferred from an alkaline solution by a robot arm.

The excellent motion performance of gallium-based liquid metals (LMs) upon the application of a mode...

Mapping the plague through natural language processing.

Pandemic diseases such as plague have produced a vast amount of literature providing information abo...

Machine learning of pair-contact process with diffusion.

The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-contact pro...

Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks.

Residue-residue distance information is useful for predicting tertiary structures of protein monomer...

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