Latest AI and machine learning research in environmental health for healthcare professionals.
In the field of environmental science, traditional methods for predicting PM2.5 concentrations prima...
Pollution source identification is vital in water safety management. An integrated simulation-optimi...
Urban Air Mobility (UAM) is an emerging transportation system that aims at revolutionizing urban mob...
OBJECTIVE: To clear the amounts of the principal active/toxic components in herbs containing aristol...
INTRODUCTION: Asbestos is a global occupational health hazard, and exposure to it by inhalation pred...
. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. ...
Severe ground-level ozone (O) pollution over major Chinese cities has become one of the most challen...
Excess nutrients in surface water and groundwater can lead to water quality deterioration in availab...
The development of contemporary artificial intelligence (AI) methods such as artificial neural netwo...
Evaluation metrics for prediction error, model selection and model averaging on space-time data are ...
BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Inte...
Determining which substances on the global market could be classified as persistent, mobile and toxi...
Recent observations of wingless animals, including jumping nematodes, springtails, insects, and wing...
Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a sin...
Biofilms are complex communities of microorganisms that can form on various surfaces, including medi...
BACKGROUND: Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive step for ...
Traditional energy from fossil fuels like petroleum and coal is limited and contributes to global en...
OBJECTIVE: The image quality of myocardial contrast echocardiography (MCE) is critical for precise m...
Artificial intelligence (AI) is a crucial component of sustainable economic development and an indic...
Arrhythmia detection from ECG is an important area of computational ECG analysis. However, although ...
This study investigated the squeal mechanism induced by friction in a lead screw system. The dynamic...