In cheminformatics, where machine learning is transforming our understanding of how molecular properties are predicted and ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...