Latest AI and machine learning research in critical care for healthcare professionals.
Machine learning models predicting the bioactivity of chemical compounds belong nowadays to the stan...
The problems that the key biomass variables in fermentation process are difficult measure in real t...
Learning to interact with the environment not only empowers the agent with manipulation capability b...
Prescription of Traditional Chinese Medicine (TCM) is a precious treasure accumulated in the long-te...
Multi-view learning aims to fully exploit the view-consistency and view-discrepancy for performance ...
Automatic electrocardiogram (ECG) classification is a promising technology for the early screening a...
For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases af...
We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achiev...
Fault diagnosis has a great significance in preventing serious failures of rotating machinery and av...
BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation str...
Multi-robot path planning is a hot problem in the field of robotics. Compared with single-robot path...
INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have ...
AIMS: This study aimed to investigate the application of infrared thermal imaging and adopt deep lea...
The recognition of denatured biological tissue is an indispensable part in the process of high inten...
Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...
Early screening of COVID-19 is essential for pandemic control, and thus to relieve stress on the hea...
There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...
Computer-Aided Diagnosis (CAD) for dermatological diseases offers one of the most notable showcases ...
Bearings are the key and important components of rotating machinery. Effective bearing fault diagnos...
This study investigated the effectiveness of pre-treatment quantitative MRI and clinical features al...
Cardiovascular and chronic respiratory diseases are global threats to public health and cause approx...