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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 715-735 of 5,083 articles
Fast Wearable Sensor-Based Foot-Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping.

Classification of foot-ground contact phases, as well as the swing phase is essential in biomechanic...

Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system.

Microfluidics has wide applications in different technologies such as biomedical engineering, chemis...

Using social robot PLEO to enhance the well-being of hospitalised children.

Hospitalisation is stressful for children. Play material is often offered for distraction and comfor...

Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.

BACKGROUND: Compartmental models dominate epidemic modeling. Transmission parameters between compart...

Circular Shell Gripper for Handling Food Products.

Pneumatically driven soft robotic grippers have been extensively studied in recent years. A majority...

Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate.

Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is t...

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from...

Modal-Based Kinematics and Contact Detection of Soft Robots.

Soft robots offer an alternative approach to manipulate within a constrained space while maintaining...

Preparation and evaluation of food-grade nanoemulsion of tarragon ( L.) essential oil: antioxidant and antibacterial properties.

This study aimed at to formulate a food-grade nanoemulsion of tarragon essential oil (NEO) and inves...

Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...

An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare.

The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity o...

A supervised learning framework for chromatin loop detection in genome-wide contact maps.

Accurately predicting chromatin loops from genome-wide interaction matrices such as Hi-C data is cri...

Artificial neural network based isotopic analysis of airborne radioactivity measurement for radiological incident detection.

Responders need tools to rapidly detect and identify airborne alpha radioactivity during consequence...

A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework.

The role of mobile robots for cleaning and sanitation purposes is increasing worldwide. Disinfection...

CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information.

Decrypting the interface residues of the protein complexes provides insight into the functions of th...

Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.

BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthca...

Development and evaluation of a novel protective device for upper gastrointestinal endoscopy in the COVID-19 pandemic: the EBOX.

BACKGROUND: During the COVID-19 pandemic, aerosol-generating procedures such as upper gastrointestin...

Negshell casting: 3D-printed structured and sacrificial cores for soft robot fabrication.

Soft robot fabrication by casting liquid elastomer often requires multiple steps of casting or skill...

Untethered-Bioinspired Quadrupedal Robot Based on Double-Chamber Pre-charged Pneumatic Soft Actuators with Highly Flexible Trunk.

Given that mobile soft robots are adaptable to the environment, they are always tethered with slow l...

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