The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...