Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Don't Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification Models.

Machine learning models predicting the bioactivity of chemical compounds belong nowadays to the stan...

Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of .

The problems that the key biomass variables in fermentation process are difficult measure in real t...

Imitation and mirror systems in robots through Deep Modality Blending Networks.

Learning to interact with the environment not only empowers the agent with manipulation capability b...

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.

Prescription of Traditional Chinese Medicine (TCM) is a precious treasure accumulated in the long-te...

Multi-view Teacher-Student Network.

Multi-view learning aims to fully exploit the view-consistency and view-discrepancy for performance ...

Automatic Multi-Label ECG Classification with Category Imbalance and Cost-Sensitive Thresholding.

Automatic electrocardiogram (ECG) classification is a promising technology for the early screening a...

Fault Diagnosis of Permanent Magnet DC Motors Based on Multi-Segment Feature Extraction.

For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases af...

GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention.

We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achiev...

Parallel multi-fusion convolutional neural networks based fault diagnosis of rotating machinery under noisy environments.

Fault diagnosis has a great significance in preventing serious failures of rotating machinery and av...

Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation str...

LF-ACO: an effective formation path planning for multi-mobile robot.

Multi-robot path planning is a hot problem in the field of robotics. Compared with single-robot path...

Using infrared imaging and deep learning in fit-checking of respiratory protective devices among healthcare professionals.

AIMS: This study aimed to investigate the application of infrared thermal imaging and adopt deep lea...

Recognition study of denatured biological tissues based on multi-scale rescaled range permutation entropy.

The recognition of denatured biological tissue is an indispensable part in the process of high inten...

PEGylated ethyl cellulose micelles as a nanocarrier for drug delivery.

Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.

Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the hea...

Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.

There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.

Computer-Aided Diagnosis (CAD) for dermatological diseases offers one of the most notable showcases ...

Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN.

Bearings are the key and important components of rotating machinery. Effective bearing fault diagnos...

A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases.

Cardiovascular and chronic respiratory diseases are global threats to public health and cause approx...

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