Results 61 to 70 of about 16,428,851 (199)
Uncertain Knowledge Graph Embedding Using Auxiliary Information
Uncertain knowledge graphs (UKGs) offer a more realistic representation of knowledge by capturing the uncertainty associated with facts. However, existing UKG embedding methods primarily rely on structural information for confidence score prediction ...
Adil Bahaj, Mounir Ghogho
doaj +1 more source
Monitoring process variability using auxiliary information [PDF]
Control charts, Power curves, Simulations, S 2 chart, V r chart, Normality, Auxiliary information,
Riaz, M., Muhammad Riaz
core +1 more source
This paper introduces an enhanced class of ratio estimators, which employ the transformation technique on an auxiliary variable under simple random sampling to estimate the population median.
Umer Daraz +3 more
doaj +1 more source
Improved methods for estimation in repeated surveys: Combining time series and calibration
The paper investigates new estimation techniques for repeated surveys, focusing on improving the precision of finite population parameter estimates at the current time t by incorporating auxiliary time series and calibration methods.
Dalius Pumputis
doaj +1 more source
Sampling survey data can sometimes contain outlier observations. When the mean estimator becomes skewed due to the presence of extreme values in the sample, results can be biased. The tendency to remove outliers from sample data is common.
Abdulaziz S. Alghamdi, Hleil Alrweili
doaj +1 more source
Automatic Image Annotation Based on Multi-Auxiliary Information
This paper introduces an automatic image annotation framework based on multi-auxiliary information which aims at improving the annotation performance. We propose three novel ideas in the framework of annotation: 1) multi-information extraction: besides ...
Pengyu Zhang +3 more
doaj +1 more source
In this paper, a new control chart scheme has been developed for monitoring the production process mean using successive sampling over two occasions. The proposed chart reduces to three different existing control charts under different assumptions and is
Mansour Sattam Aldosari +3 more
doaj +1 more source
Enhanced Ratio-Type Estimators in Adaptive Cluster Sampling Using Jackknife Method
Adaptive cluster sampling is a methodology designed for data collection in contexts where the population is rare and spatially clustered. This approach has been effectively applied in various disciplines, including epidemiology and resource management ...
Supawadee Wichitchan +3 more
doaj +1 more source
The semantic segmentation of laser point clouds is critical for many applications of aerial point clouds. However, most of the existing deep learning networks do not make full use of point cloud data information.
Xin Luo +4 more
doaj +1 more source
An Improved Reversible Image Transformation Using K-Means Clustering and Block Patching
Recently, reversible image transformation (RIT) technology has attracted considerable attention because it is able not only to generate stego-images that look similar to target images of the same size, but also to recover the secret image losslessly ...
Haidong Zhong +2 more
doaj +1 more source

