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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 778-798 of 5,083 articles
Target clamping and cooperative motion control of ant robots.

Carpenter ants possess the characteristics of division of labor, communication between individuals, ...

Constructing multilayered neural networks with sparse, data-driven connectivity using biologically-inspired, complementary, homeostatic mechanisms.

The immense complexity of the brain requires that it be built and controlled by intrinsic, self-regu...

Development of a Wearable Electrical Impedance Tomographic Sensor for Gesture Recognition With Machine Learning.

A wearable electrical impedance tomographic (wEIT) sensor with 8 electrodes is developed to realize ...

A Novel Tendon-Driven Soft Actuator with Self-Pumping Property.

Soft actuators and robotics have been widely researched in recent years mainly due to their complian...

A waiting-time-based event-triggered scheme for stabilization of complex-valued neural networks.

This paper addresses the global stabilization of complex-valued neural networks (CVNNs) via event-tr...

Kinematic analysis and simulation of a new type of differential micro-feed mechanism with friction.

This article presents a new micro-feed mechanism, whose main transmission component is the nut-rotar...

Analysis of distance-based protein structure prediction by deep learning in CASP13.

This paper reports the CASP13 results of distance-based contact prediction, threading, and folding m...

Extremely large sweep amplitude enables high wing loading in giant hovering insects.

Beetle Allomyrina dichotoma is one of the largest insects that performs many remarkable modes of loc...

Foot-Controlled Robot-Enabled EnDOscope Manipulator (FREEDOM) for Sinus Surgery: Design, Control, and Evaluation.

Despite successful clinical applications, teleoperated robotic surgical systems face particular limi...

A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities.

Development of the next generation of bio- and nano-electronics is inseparably connected to the inno...

A new robotic tactile sensor with bio-mimetic structural colour inspired by Morpho butterflies.

Since tactile perception and robotic manipulation play important roles in human survival, we propose...

A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

Due to the characteristics of T-connection transmission lines, a new method for T-connection transmi...

rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments.

In the last decades, huge efforts have been made in the bioinformatics community to develop machine ...

Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema.

BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between o...

Fingerpad contact evolution under electrovibration.

Displaying tactile feedback through a touchscreen via electrovibration has many potential applicatio...

Combining evolution and self-organization to find natural Boolean representations in unconventional computational media.

Designing novel unconventional computing systems often requires the selection of the computational s...

Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...

Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

Cholera epidemic remains a public threat throughout history, affecting vulnerable population living ...

Simplifying models and estimating grasp performance for comparing dynamic hand orthosis concepts.

While designing a dynamic hand orthosis to assist during activities of daily living, the designer ha...

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