Critical Care

Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition.

Human pose estimation and action recognition are related tasks since both problems are strongly depe...

Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation.

BACKGROUND: Among patients with acute respiratory failure requiring prolonged mechanical ventilation...

A hierarchical deep learning based approach for multi-functional enzyme classification.

Enzymes are critical proteins in every organism. They speed up essential chemical reactions, help fi...

Artificial intelligence hold promise in the ICU.

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequent...

Protein detection enabled using functionalised silk-binding peptides on a silk-coated optical fibre.

We present a new coating procedure to prepare optical fibre sensors suitable for use with protein an...

A Synchronous Prediction Model Based on Multi-Channel CNN with Moving Window for Coal and Electricity Consumption in Cement Calcination Process.

The precision and reliability of the synchronous prediction of multi energy consumption indicators s...

Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

Identification of those at greatest risk of death due to the substantial threat of COVID-19 can bene...

Adaptive Fuzzy Sliding Mode Control of a Pressure-Controlled Artificial Ventilator.

This paper presents the application of adaptive fuzzy sliding mode control (AFSMC) for the respirato...

Agent-Based Semantic Role Mining for Intelligent Access Control in Multi-Domain Collaborative Applications of Smart Cities.

Significance and popularity of Role-Based Access Control (RBAC) is inevitable; however, its applicat...

Optimized algorithm for multipoint geostatistical facies modeling based on a deep feedforward neural network.

Reservoir facies modeling is an important way to express the sedimentary characteristics of the targ...

Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh.

Floods are among the most devastating natural hazards in Bangladesh. The country experiences multi-t...

Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.

COVID-19 is a respiratory disease caused by severe acute respiratory syndrome coronavirus (SARS-CoV-...

Multi-objective optimization technique for trajectory planning of multi-humanoid robots in cluttered terrain.

Humanoid robots hold a decent advantage over wheeled robots because of their ability to mimic human ...

Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.

Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomograp...

Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning.

Mechanical ventilation is an essential life-support treatment for patients who cannot breathe indepe...

Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID).

In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortali...

One-step-immunoassay of procalcitonin enables rapid and accurate diagnosis of bacterial infection.

Procalcitonin (PCT) ( a precursor of calcitonin) attracts much attention as a reliable biomarker of ...

Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations.

This paper discusses the periodicity and multi-periodicity in delayed Cohen-Grossberg-type neural ne...

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.

Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of ...

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning.

Learning to reason in large-scale knowledge graphs has attracted much attention from research commun...