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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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Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.

Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object...

High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor.

INTRODUCTION: In recent decades, the interest has grown to quantify the green area index as one of t...

Limited angle tomography for transmission X-ray microscopy using deep learning.

In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be restricted...

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning.

The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B v...

Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks.

OBJECTIVE: Recording and stimulating from the peripheral nervous system are becoming important compo...

An Optimal Electrical Impedance Tomography Drive Pattern for Human-Computer Interaction Applications.

In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based o...

Improved protein structure prediction using potentials from deep learning.

Protein structure prediction can be used to determine the three-dimensional shape of a protein from ...

A bioinspired analogous nerve towards artificial intelligence.

A bionic artificial device commonly integrates various distributed functional units to mimic the fun...

Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs.

Lipid droplet (LD) accumulation, a key feature of foam cells, constitutes an attractive target for t...

DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.

BACKGROUND: Recently developed methods of protein contact prediction, a crucially important step for...

A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach.

Real time brain transcranial ultrasound imaging is extremely intriguing because of its numerous appl...

Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.

In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and ag...

Removal of Pb (II) from aqueous solution using nanoadsorbent of husk: Isotherm, kinetic and thermodynamic studies.

This research focus on the removal of Pb (II) ions from aqueous solution by adsorption process using...

Fault Diagnosis of Loader Gearbox Based on an ICA and SVM Algorithm.

When a part of the loader's gearbox fails, this can lead to equipment failure due to the complex int...

A Low-Cost Nanomaterial-based Electrochemical Immunosensor on Paper for High-Sensitivity Early Detection of Pancreatic Cancer.

Due to the lack of specific early detection methods for pancreatic cancer, it usually goes undetecte...

Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning.

UNLABELLED: Non-contact vital sign monitoring enables the estimation of vital signs, such as heart r...

A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices.

Teleception is defined as sensing that occurs remotely, with no physical contact with the object bei...

A Fully Embedded Adaptive Real-Time Hand Gesture Classifier Leveraging HD-sEMG and Deep Learning.

This paper presents a real-time fine gesture recognition system for multi-articulating hand prosthes...

Mechanoreception for Soft Robots via Intuitive Body Cues.

Mechanoreception, the ability of robots to detect mechanical stimuli from the internal and external ...

Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.

The problem of quasi-synchronization (QS) for the Markovian jump master-slave neural networks with t...

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