Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

For years, a core set of satellite measurements has shaped how scientists, policymakers and modelers understand the Arctic’s ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

In this valuable contribution, the authors present a novel and versatile probabilistic tool for classifying tracking behaviors and understanding parameters for different types of single-particle ...

I think there is a bug in the making of the trb file variable receptor_con_hal_idx0. Perhaps this is not a bug and I misunderstand what this variable is supposed to be. As an example, I am making a ...

Dominik Bošnjak is a freelance writer from Croatia. He has been writing about games for as long as he can remember and began doing so professionally circa 2010. If he was forced to pick a favorite ...

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...

Given the importance of environmental issues and the sustainability of economic growth, reconciling these two issues is one of the major challenges facing governments. Many developing countries, ...

Abstract: The Errors-in-Variables model of system identification/control involves nontrivial input and measurement corruption of observed data, resulting in generically nonconvex optimization problems ...