Empirical modeling involves the development of models that explain, predict, or simulate a particular aspect of the world, rather than purely theoretical or abstract principles. Empirical modeling ...

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published by researchers at UC Berkeley, Lawrence Berkeley National Laboratory et al. ...

Soil erosion is a key hydro-geological hazard and a primary cause of land degradation around the world, and it is increasing due to the combined pressures ...