Hospital-Based Medicine

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Latest AI and machine learning research in intensivists for healthcare professionals.

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Neural Network Based IRSs-UEs Association and IRSs Optimal Placement in Multi IRSs Aided Wireless System.

Implementing intelligent reflecting surfaces (IRSs), in high frequency based beyond 5G networks, has...

The interactive fuzzy linguistic term set and its application in multi-attribute decision making.

In multi-attribute decision making problems, some decision information interact with each other. The...

Interval-valued intuitionistic fuzzy multi-attribute group decision-making method considering risk preference of decision-makers and its application.

An improved interval-valued intuitionistic fuzzy multi-attribute group decision-making method consid...

Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network.

Knowledge of RNA solvent accessibility has recently become attractive due to the increasing awarenes...

Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.

The multi-functional buoy is an important facility for assisting the navigation of inland waterway s...

Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

Global warming has seriously affected the local climate characteristics of cities, resulting in the ...

Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network.

Circular RNAs (circRNAs) are covalently closed single-stranded RNA molecules, which have many biolog...

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion.

Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, M...

Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.

Sleep is generally considered to be a state of large-scale synchrony across thalamus and neocortex; ...

Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.

BACKGROUND: A disease severity classification system is widely used to predict the survival of patie...

Predicting In Vivo Compound Brain Penetration Using Multi-task Graph Neural Networks.

Assessing whether compounds penetrate the brain can become critical in drug discovery, either to pre...

European Society of Paediatric Radiology Artificial Intelligence taskforce: a new taskforce for the digital age.

A new task force dedicated to artificial intelligence (AI) with respect to paediatric radiology was ...

Exploring Built-Up Indices and Machine Learning Regressions for Multi-Temporal Building Density Monitoring Based on Landsat Series.

Uncontrolled built-up area expansion and building densification could bring some detrimental problem...

Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.

Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is a...

Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks.

Understanding a person's attitude or sentiment from their facial expressions has long been a straigh...

Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application.

Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By u...

Research on Multi-Sensor Fusion Indoor Fire Perception Algorithm Based on Improved TCN.

Indoor fires cause huge casualties and economic losses worldwide. Thus, it is critical to quickly an...

A general locomotion control framework for multi-legged locomotors.

Serially connected robots are promising candidates for performing tasks in confined spaces such as s...

Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.

Lung infections caused by bacteria and viruses are infectious and require timely screening and isola...

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