Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Background Left ventricular mass (LVM) is suggested to be a sensitive predictor of adverse cardiovascular outcomes, such as ...

An environment-friendly model footpath, with plastic paver blocks and solar power component, is being developed by the ...

ABSTRACT: This study explores a comprehensive statistical model for analyzing rental apartment prices per square meter in Munich, Germany. The research investigates key quantitative and qualitative ...

With wars, pandemics, and political upheavals reshaping global finance, traditional models fall short. NEAT offers resilience in a world where adaptation is the only survival strategy A World Where ...

The deviations observed in the solubility of ibuprofen (IBP) and naproxen (NAP) in propylene glycol (PG) + water (W) cosolvent mixtures with respect to the logarithmic-linear model proposed by ...

Abstract: This study proposes a novel Mixed Integer Linear Programming (MILP) model for optimal management of Battery Energy Storage System (BESS) plants integrated with a realtime cycle counting ...

This is the seventh in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

Samsung is expanding its support for Log video capture — and this time, it’s coming to the front-facing camera. The upcoming Galaxy S25 Edge allows users to shoot Log videos using the selfie camera, a ...

The global banking sector is navigating unprecedented challenges volatile markets, evolving regulatory demands, and increasing customer expectations for speed and accuracy. Traditional risk assessment ...

Hello, I want to do a Bayesian optimization of a 2-dimensional multi-fidelity test problem. I therefore defined a linear multi-fidelity model and set up the acquisition function. I also set a context ...