Latest AI and machine learning research in environmental health for healthcare professionals.
In a world where humanity's interests come first, the environment is flooded with pollutants produce...
The use of artificial intelligence (AI) and machine learning (ML) in pharmaceutical research and dev...
Facing billions of tons of pollutants entering the ocean each year, aquatic toxicity is becoming a c...
This study was aimed to explore magnetic resonance imaging (MRI) based on deep learning belief netwo...
Amino acids are among the building blocks of life, forming peptides and proteins, and have been care...
Ozone is one of the most important air pollutants, with significant impacts on human health, regiona...
Environmental problem is an international problem that transcends national boundaries and develops i...
Air quality index (AQI) is an essential measure of air pollution evaluation, which describes the air...
Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a...
Recently, heavy metal air pollution has received significant interest in computing the total concent...
Radiation-induced immune suppression poses significant health challenges for millions of patients un...
It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge ...
Nowadays, the implementation of Artificial Intelligence (AI) in medical diagnosis has attracted majo...
This study proposes a new model for the spatiotemporal prediction of PM concentration at hourly and ...
Energy is the source of economic growth, and energy consumption indicates the country's state of dev...
Large-scale sports events with high-level competition as the main content will have a great impact o...
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...
The quality control process for sintered ore is cumbersome and time- and money-consuming. When the a...
Event-driven intermittent feedback control is a form of feedback control in which the corrective con...
Aquifer vulnerability mapping to pollution is topical research activity, and common frameworks such ...
Precise prediction of water quality parameters plays a significant role in making an early alert of ...