Approximation methods in function spaces characterise how well complex functions can be represented or recovered using limited information such as function values or ...

In this paper, we propose a complete formulation of the Lattice Boltzmann Method adapted for quantum computing. The classical collision, based on linear equilibrium distribution functions and ...

Abstract: Various hyperparameters are used in the design phase of artificial neural networks (ANNs). One of the hyperparameters that significantly affects the performance of ANNs is the optimization ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

A new brain mapping method uncovers how groups of regions interact to support complex functions, offering insights into behavior and disease. A novel brain mapping method reveals complex neural ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

Abstract: We propose a novel characteristic basis function method (CBFM) for analyzing the scattering by dielectric objects based on the Poggio–Miller–Chang–Harrington–Wu–Tsai (PMCHWT) formulation. In ...