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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 652-672 of 5,083 articles
The whole is greater than its parts: ensembling improves protein contact prediction.

The prediction of amino acid contacts from protein sequence is an important problem, as protein cont...

A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.

BACKGROUND: As a neglected cross-species parasitic disease transmitted between canines and livestock...

Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithms.

This study investigates uncertainty in machine learning that can occur when there is significant var...

Relay protection system of transmission line based on AI.

With the development of modern power systems, higher requirements are imposed on relay protection te...

Deep learning in forensic gunshot wound interpretation-a proof-of-concept study.

While the applications of deep learning are considered revolutionary within several medical specialt...

Deep learning classification of lipid droplets in quantitative phase images.

We report the application of supervised machine learning to the automated classification of lipid dr...

Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.

The topology of protein folds can be specified by the inter-residue contact-maps and accurate contac...

Generation of Tactile Data From 3D Vision and Target Robotic Grasps.

Tactile perception is a rich source of information for robotic grasping: it allows a robot to identi...

Haptic and Visual Feedback Assistance for Dual-Arm Robot Teleoperation in Surface Conditioning Tasks.

Contact driven tasks, such as surface conditioning operations (wiping, polishing, sanding, etc.), ar...

Unveiling social distancing mechanisms via a fish-robot hybrid interaction.

Pathogen transmission is a major limit of social species. Social distancing, a behavioural-based res...

A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network.

Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is i...

Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.

Recording human gestures from a wearable sensor produces valuable information to implement control g...

Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.

Deep learning has emerged as a revolutionary technology for protein residue-residue contact predicti...

CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy.

Particle identification and selection, which is a prerequisite for high-resolution structure determi...

A microfluidic robot for rare cell sorting based on machine vision identification and multi-step sorting strategy.

The identification, sorting and analysis of rare target single cells in human blood has always been ...

Versatile Soft Robot Gripper Enabled by Stiffness and Adhesion Tuning via Thermoplastic Composite.

Within the field of robotics, stiffness tuning technologies have potential for a variety of applicat...

The 3D reconstructed skin micronucleus assay using imaging flow cytometry and deep learning: A proof-of-principle investigation.

The reconstructed skin micronucleus (RSMN) assay was developed in 2006, as an in vitro alternative f...

In silico prediction of chemical acute contact toxicity on honey bees via machine learning methods.

In recent years, the decline of honey bees and the collapse of bee colonies have caught the attentio...

Machine learning monitoring for laser osteotomy.

This work proposes a new online monitoring method for an assistance during laser osteotomy. The meth...

Statistical field theory of the transmission of nerve impulses.

BACKGROUND: Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membra...

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