A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers get stronger gains than newcomers, which could reshape how you learn, ...
Abstract: Macro Basis Function (MBF) methods such as the Characteristic Basis Function Method (CBFM), are used to solve large antenna array problems efficiently with the Method of Moments (MoM). MBFs ...
Abstract: Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks ...
Objective: The aim of the study was to show the differences in the dominant motivational function of physical activity (PA) between women and men from Poland (PL), China (CN), Iran (IR), Kazakhstan ...
pyiron_workflow is a framework for constructing workflows as computational graphs from simple python functions. Its objective is to make it as easy as possible to create reliable, reusable, and ...
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