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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 610-630 of 5,083 articles
Use of Machine Learning for the Estimation of Down- and Up-Link Field Exposure in Multi-Source Indoor WiFi Scenarios.

A novel Machine Learning (ML) method based on Neural Networks (NN) is proposed to assess radio-frequ...

Emerging Technologies for In Vitro Inhalation Toxicology.

Respiratory toxicology remains a major research area in the 21st century since current scenario of a...

Stiffness Preprogrammable Soft Bending Pneumatic Actuators for High-Efficient, Conformal Operation.

Soft pneumatic actuators (SPAs) are extensively investigated due to their simple control strategies ...

An Integrated Compensation Method for the Force Disturbance of a Six-Axis Force Sensor in Complex Manufacturing Scenarios.

As one of the key components for active compliance control and human-robot collaboration, a six-axis...

Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach.

Allergic diseases have been the epidemic of the century among chronic diseases. Particularly for pol...

Domiciliation and sympatry of and risk of transmission in villages of AnzoƔtegui, Venezuela.

The domiciliation of and and the entomological risk indicators for the transmission of , an etiolo...

Extended Kalman filter for online soft tissue characterization based on Hunt-Crossley contact model.

Real-time soft tissue characterization is significant to robotic assisted minimally invasive surgery...

Tactile Interaction Sensor with Millimeter Sensing Acuity.

In this article we report on a 3 Ɨ 3 mm tactile interaction sensor that is able to simultaneously de...

Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations.

Structure prediction for proteins lacking homologous templates in the Protein Data Bank (PDB) remain...

Sensitivity - Local index to control chaoticity or gradient globally.

Here, we introduce a fully local index named "sensitivity" for each neuron to control chaoticity or ...

The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

In industries that implement the technology of induction soldering, various sensors, including non-c...

COVID-19 cough classification using machine learning and global smartphone recordings.

We present a machine learning based COVID-19 cough classifier which can discriminate COVID-19 positi...

A Multifunctional Smart Meter Using ANN-PSO Flux Estimation and Harmonic Active Compensation with Fuzzy Voltage Regulation.

This paper aims to present the analysis and development of a complete electronic smart meter that is...

Short Time Delay Does Not Hinder Haptic Communication Benefits.

Haptic communication, the exchange of force and tactile information during dancing or moving a table...

Flexible Assimilation of Human's Target for Versatile Human-Robot Physical Interaction.

Recent studies on the physical interaction between humans have revealed their ability to read the pa...

Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control.

This paper investigates the exponential passivity of discrete-time switched neural networks (DSNNs) ...

Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network.

Modern computer systems practically cannot function without a computer network. New concepts of data...

Deep learning connects DNA traces to transcription to reveal predictive features beyond enhancer-promoter contact.

Chromatin architecture plays an important role in gene regulation. Recent advances in super-resoluti...

A Microfabricated Dual Slip-Pressure Sensor with Compliant Polymer-Liquid Metal Nanocomposite for Robotic Manipulation.

Conventional grippers fall behind their human counterparts as they do not have integrated sensing ca...

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.

Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral resolutio...

Volumetric monitoring of airborne particulate matter concentration using smartphone-based digital holographic microscopy and deep learning.

Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effect...

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