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 ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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

Artificial intelligence is no longer a future idea. It is already part of daily life. Students use it when they search online ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...