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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 484-504 of 5,078 articles
A tripodal wheeled mobile robot driven by a liquid metal motor.

As a novel driving concept, the liquid metal motor (LMM) has been regarded as a promising actuator d...

Rapid prototyping of ion-selective electrodes using a low-cost 3D printed internet-of-things (IoT) controlled robot.

We report automated fabrication of solid-contact sodium-selective (Na-ISEs) and potassium-selective ...

Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model.

Recently, heavy metal air pollution has received significant interest in computing the total concent...

ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.

In this paper, we propose a lightweight neural network for real-time electrocardiogram (ECG) anomaly...

Noncontact Electromagnetic Wireless Recognition for Prosthesis Based on Intelligent Metasurface.

With the development of artificial intelligence and Internet of Things, hand gesture recognition tec...

Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

The development of simple and accurate methods to predict mutations in proteins remains an unsolved ...

Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method.

Surface electromyography (sEMG) signals have been applied widely in prosthetic hand controlling. In ...

A Neuromorphic CMOS Circuit With Self-Repairing Capability.

Neurophysiological observations confirm that the brain not only is able to detect the impaired synap...

s-CAM: An Untethered Insertable Laparoscopic Surgical Camera Robot with Non-Contact Actuation.

Fully insertable robotic imaging devices represent a promising future of minimally invasive laparosc...

Performing protein fold recognition by exploiting a stack convolutional neural network with the attention mechanism.

Protein fold recognition is a critical step in protein structure and function prediction, and aims t...

A Fault Diagnosis System for a Pipeline Robot Based on Sound Signal Recognition.

Timely and accurate identification of fault types at the early stage of minor faults is significant ...

Parallel transmission in a synthetic nerve.

Bioelectronic devices that are tetherless and soft are promising developments in medicine, robotics ...

Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.

In recent decades, robot-assisted surgery has been proven superior at providing more accurate outcom...

Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping.

An important problem associated with the aerial mapping of the seabed is the precise classification ...

Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

With the development of robot technology, robot utilization is expanding in industrial fields and ev...

Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm.

OBJECTIVES: Diseases of the middle ear can interfere with normal sound transmission, which results i...

An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection.

Since December 2019, the COVID-19 pandemic has led to a dramatic loss of human lives and caused seve...

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