Abstract: Exploratory Landscape Analysis characterizes fitness landscapes of various optimization problems to categorize them and reveal relationships with different metaheuristic algorithms. It uses ...

ABSTRACT: This study develops and empirically tests a unified model for enhancing the capacity of Small and Medium Enterprises (SMEs) in the construction industry of emerging economies. Using data ...

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Abstract: This paper proposes a new perspective on the relationship between the sampling and aliasing. Unlike the uniform sampling case, where the aliases are simply periodic replicas of the original ...

Randomized controlled trials are the gold standard for establishing causality between an intervention and outcome. However, traditional fixed randomization can lead to imbalances in group size and ...

ABSTRACT: Visual impairment is a rising concern, and there is a stronger push towards a more inclusive retail experience. However, these accommodations are often conceived as an altruistic movement to ...

In `randomize_raster()`, when new units are being selected to provide the spikes for a given bin, previously sampling without replacement was used. This meant that ...