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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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Deep learning image transmission through a multimode fiber based on a small training dataset.

An improved deep neural network incorporating attention mechanism and DSSIM loss function (AM_U_Net)...

AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system.

Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the ...

Fast Improvement of TEM Images with Low-Dose Electrons by Deep Learning.

Low electron dose observation is indispensable for observing various samples using a transmission el...

[Mechanical Design and Research of Wearable Exoskeleton Assisted Robot for Upper Limb Rehabilitation].

Based on the biomechanical mechanism of human upper limb, the disadvantages of traditional rehabilit...

OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors.

Accurate protein side-chain modeling is crucial for protein folding and protein design. In the past ...

Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment.

Model-based control has great potential for use in real robots due to its high sampling efficiency. ...

Signal Processing Techniques Applied to Axial Transmission Ultrasound.

A new application of ultrasonography has been emerging in the bone quantitative ultrasound arena in ...

Session introduction: AI-driven Advances in Modeling of Protein Structure.

The last few years mark dramatic improvements in modeling of protein structure. Progress was initial...

Novel U-net based deep neural networks for transmission tomography.

BACKGROUND: The fusion of computer tomography and deep learning is an effective way of achieving imp...

CoCoNet-boosting RNA contact prediction by convolutional neural networks.

Co-evolutionary models such as direct coupling analysis (DCA) in combination with machine learning (...

Improved protein contact prediction using dimensional hybrid residual networks and singularity enhanced loss function.

Deep residual learning has shown great success in protein contact prediction. In this study, a new d...

Instantaneous Brain Strain Estimation for Automotive Head Impacts via Deep Learning.

Efficient brain strain estimation is critical for routine application of a head injury model. Lately...

An Improved Networked Predictive Controller for Vascular Robot Using 5G Networks.

Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary ...

High Compliance Pneumatic Actuators to Promote Finger Extension in Stroke Survivors.

Compliant pneumatic systems are well suited for wearable robotic applications. The actuators are lig...

A Virtual Scanning Framework for Robotic Spinal Sonography with Automatic Real-time Recognition of Standard Views.

Ultrasound (US) imaging is widely used to assist in the diagnosis and intervention of the spine, but...

Characterization of multiscale logic operations in the neural circuits.

: Ever since the seminal work by McCulloch and Pitts, the theory of neural computation and its philo...

Are small airplanes safe with regards to COVID-19 transmission?

Social distancing is impossible in small aircrafts but there is a specific, highly effective ventila...

Dynamic Modeling, Analysis, and Design Synthesis of a Reduced Complexity Quadruped with a Serpentine Robotic Tail.

Serpentine tail structures are widely observed in the animal kingdom and are thought to help animals...

Current status and future perspectives of computational studies on human-virus protein-protein interactions.

The protein-protein interactions (PPIs) between human and viruses mediate viral infection and host i...

Accurate prediction of inter-protein residue-residue contacts for homo-oligomeric protein complexes.

Protein-protein interactions play a fundamental role in all cellular processes. Therefore, determini...

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