Aggregation techniques provide a means to summarise complex, high-dimensional datasets into reduced representations that retain essential information. In multidimensional contexts, data points often ...

Boosting encompasses a family of ensemble learning methods that build strong predictive models by iteratively combining a sequence of simple learners, or base-learners, each aimed at correcting the ...

Surface properties dictate a vast array of material characteristics that are crucial to performance, durability, and intended functionality across diverse industries. Properties such as friction, wear ...

University rankings have become highly visible tools for evaluating and comparing higher education institutions, influencing student choices, institutional ...