This paper presents an extensive systematic literature review with the aim of identifying and classifying issues in the information classification process. The classification selected uses human and organizational factors for grouping the identified issues. The results reveal that policy-related issues are most commonly described, but not necessarily the most crucial ones. Furthermore, gaps in ...

The study was conducted with the objective of mapping landscape cover of Nechsar National park in Ethiopia to produce spatially accurate and timely information on land use and changing pattern. Monitoring provides the planners and decision-makers with required information about the current state of its development and the nature of changes that have occurred. Remote sensing and Geographical Inf...

We can reach by DNA microarray gene expression to such wealth of information with thousands of variables (genes). Analysis of this information can show genetic reasons of disease and tumor differences. In this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...

With the rapid growth of virtual reality industry, number users participating in has rapidly increased, and analyzing user behavior scenarios become increasingly important. Compared with general time series classification tasks, input sources are more complex diverse, traditional models difficult to handle this complexity. This article designs a methods for classifying VR conducts experiments. ...