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 ...

Electromagnetic scattering is a fundamental process in which incident electromagnetic waves interact with objects, leading to redirection and dispersion of the waves. Basis function methods, including ...

Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...

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 ...

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: ...

The lymphatic vascular system spans nearly every organ in the body and serves as an important network that maintains fluid, metabolite, and immune cell homeostasis. Recently, there has been a growing ...

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 ...