The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Synchrophasor technology is widely deployed in modern energy management system to monitor the grid health at micro level and perform necessary corrective actions in real-time; however, integrated ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Advances in image processing and machine learning (ML) substantially affected unmixing. This article provides an overview of advanced and conventional unmixing approaches. In addition, we draw a ...

The final data set, consisting of 686 complexes then used to train a machine learning model for Pd–Me bond dissociation energies. We first extracted Pd–Me complex crystal structures from the CSD using ...