Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep learning to transform wastewater treatment processes.

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...

The deep-learning model used the whole “breast architecture,” not just calcification, to predict MACE risk in middle-aged ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...