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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 526-546 of 5,078 articles
Development of a Robot Arm Link System Embedded with a Three-Axis Sensor with a Simple Structure Capable of Excellent External Collision Detection.

In order to effectively detect the contact state between the operator and the collaborative robot, a...

The Problem of Observing Sociotechnical Entities in Social Science and Humanities Energy Transition Research.

The notion of "sociotechnical" is an important concept for interdisciplinary research on the transfo...

A Gesture Recognition Method with a Charge Induction Array of Nine Electrodes.

In order to develop a non-contact and simple gesture recognition technology, a recognition method wi...

An insect-scale robot reveals the effects of different body dynamics regimes during open-loop running in feature-laden terrain.

The transition from the lab to natural environments is an archetypal challenge in robotics. While la...

Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events.

The purpose of this study was to compare a heuristic feature identification algorithm with output fr...

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.

Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or...

A Survey on Mathematical, Machine Learning and Deep Learning Models for COVID-19 Transmission and Diagnosis.

COVID-19 is a life threatening disease which has a enormous global impact. As the cause of the disea...

Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.

The synthetic chemicals in food contact materials can migrate into food and endanger human health. I...

Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors.

Noise significantly limits the accuracy and stability of retrieving gas concentration with the tradi...

Application of DNA-Binding Protein Prediction Based on Graph Convolutional Network and Contact Map.

DNA contains the genetic information for the synthesis of proteins and RNA, and it is an indispensab...

Review on generic methods for mechanical modeling, simulation and control of soft robots.

In this review paper, we are interested in the models and algorithms that allow generic simulation a...

Effective TCP Flow Management Based on Hierarchical Feedback Learning in Complex Data Center Network.

Many studies focusing on improving Transmission Control Protocol (TCP) flow control realize a more e...

Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning.

Telemetric information is great in size, requiring extra room and transmission time. There is a sign...

A new method for detecting mixed bacteria based on multi-wavelength transmission spectroscopy technology.

Previously, we successfully realized the identification of a single species of bacteria based on the...

Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.

Open circuit failure mode in insulated-gate bipolar transistors (IGBT) is one of the most common fau...

A machine learning-driven approach for prioritizing food contact chemicals of carcinogenic concern based on complementary in silico methods.

Carcinogenicity is one of the most critical endpoints for the risk assessment of food contact chemic...

A Remote Calibration Device Using Edge Intelligence.

Power system facility calibration is a compulsory task that requires in-site operations. In this wor...

Event-triggered H/passive synchronization for Markov jumping reaction-diffusion neural networks under deception attacks.

The issue of H/passive master-slave synchronization for Markov jumping neural networks with reaction...

Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks.

The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT model using t...

Rigid motion-resolved prediction using deep learning for real-time parallel-transmission pulse design.

PURPOSE: Tailored parallel-transmit (pTx) pulses produce uniform excitation profiles at 7 T, but are...

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