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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 85-105 of 5,074 articles
Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications.

Blending poly (lactic acid) (PLA) with poly (vinyl alcohol) (PVA) improves the strength and hydrophi...

Dynamic events-based adaptive NN output feedback control of interconnected nonlinear systems under general output constraint.

This paper investigates the adaptive NN output feedback tracking control problem for a class of inte...

CorrMorph: Unsupervised Deformable Brain MRI Registration Based on Correlation Mining.

Deformable image registration, as a fundamental prerequisite for many medical image analysis tasks, ...

A Review of AIoT-Based Human Activity Recognition: From Application to Technique.

This scoping review paper redefines the Artificial Intelligence-based Internet of Things (AIoT) driv...

Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfl...

Experimental demonstration of integrated encryption and communication over optical fiber.

As we enter the big data and artificial intelligence (AI) era, integrating security and communicatio...

Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

With water quality management crucial for environmental sustainability, multiple techniques for real...

Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.

BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising i...

Machine learning strategy secures urban smart drinking water treatment plant through incremental advances.

The integration of machine learning into urban drinking water treatment plants (DWTPs) offers a tran...

Real-Time Monitoring of Personal Protective Equipment Adherence Using On-Device Artificial Intelligence Models.

Personal protective equipment (PPE) is crucial for infection prevention and is effective only when w...

Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.

Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A ...

A stability-indicating potentiometric platform for assaying Metoprolol succinate and felodipine in their tablets and human plasma.

Solid contact electrodes are prevalent in analytical applications due to their superior performance ...

Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digi...

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potentia...

Machine Learning for Quantitative Prediction of Protein Adsorption on Well-Defined Polymer Brush Surfaces with Diverse Chemical Properties.

Polymer informatics has attracted increasing attention because machine learning can establish quanti...

Soft robotic hand with tactile palm-finger coordination.

Soft robotic hands with integrated sensing capabilities hold great potential for interactive operati...

Continuous non-contact monitoring of neonatal activity.

PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care un...

Cooperative Magnetic Interfacial Microrobot Couple for Versatile Non-Contact Biomedical Applications.

Magnetic interfacial microrobots are increasingly recognized as a promising approach for potential b...

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