We introduced an innovative Valve Covers kernel-based nonparametric estimator for the cumulative distribution function (CDF) in finite populations, addressing the critical need to evaluate the proportion of values in a target variable that are less than or equal to specific thresholds.By leveraging auxiliary information under a stratified random sa
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns.We investigated ASD patients brain imaging data from a world-wide multi-site database known as ABIDE (Autism Brain Imaging Data Exchange).ASD
Plant-mediated RNA interference Bucket Bag (RNAi) has emerged as a promising technology for insect control.The green peach aphid, Myzus persicae, feeds on over 400 species of host plants.Brassica napus (rape) is the second most important oilseed crop worldwide.Myzus persicae is highly reproductive and causes severe damage to the rape plants due to
In order to accurately predict the power consumption data of charging piles, assist related enterprises to accurately predict CINNAMON DATE the benefits of charging piles and further optimize the relationship between households and transformers, this paper proposes an improved Gate Recurrent Unit (IGRU) prediction model based on spline interpolatio