Latest AI and machine learning research in intensivists for healthcare professionals.
Signal detection is one of the most critical and challenging issues in ambient backscatter communica...
Recent advances in both lightweight deep learning algorithms and edge computing increasingly enable ...
As an effective approach to perceive environments, acoustic scene classification (ASC) has received ...
Early detection and treatment of retinal disorders are critical for avoiding irreversible visual imp...
Deep learning techniques and algorithms are emerging as a disruptive technology with the potential t...
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathoge...
The development of activity recognition based on multi-modal data makes it possible to reduce human ...
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early diagnosi...
The stock market is an important part of the capital market, and the research on the price fluctuati...
BACKGROUND: A fused method using a combination of multi-omics data enables a comprehensive study of ...
COVID-19 is a contagious disease; so, predicting its future infections in a provincial region requir...
Most proteins in cells are composed of multiple folding units (or domains) to perform complex functi...
Fibronectin (FN) plays an essential role in the host's response to infection. In previous studies, a...
Recently, an attention mechanism has been used to help recommender systems grasp user interests more...
Ballistic impacts are a primary risk in both civil and military defence applications, where successf...
Injection molding is one of the most promising technologies for the large-scale production and appli...
Machine learning can predict outcomes and determine variables contributing to precise prediction, an...
Investigating neural mechanisms of anesthesia process and developing efficient anesthetized state de...
Automatic recognition of human emotions is not a trivial process. There are many factors affecting e...
Recently, deep neural networks have shown great potential for solving dipole inversion of quantitati...
A brain tumor is the growth of abnormal cells in certain brain tissues with a high mortality rate; t...