Support vector machine is a classification model which has been widely used in many
nonlinear and high dimensional pattern recognition problems. However, it is inefficient or …

The outstanding pattern recognition performance of deep learning brings new vitality to the
synthetic aperture radar (SAR) automatic target recognition (ATR). However, there is a …

Deep learning has brought a series of breakthroughs in image processing. Specifically,
there are significant improvements in the application of food image classification using deep …

The automatic text categorization technique has gained significant attention among
researchers because of the increasing availability of online text information. Therefore, many …

In this paper, an automatic generation of domain-specific stopwords from a large labeled
corpus is proposed. In the majority of text mining tasks, stopwords are removed according to …

Text classification has always been an interesting issue in the research area of natural
language processing (NLP). While entering the era of big data, a good text classifier is …

В работе рассматриваются задачи автоматизированного анализа текстовых
документов в органах исполнительной и законодательной власти. Выделяется группа …

The outstanding pattern recognition performance of deep learning brings new vitality to the
synthetic aperture radar (SAR) automatic target recognition (ATR). However, there is a …

For a university student, the main measure of success is whether or not they pass the
modules for which they are enrolled. It is not always easy for a lecturer to determine whether …

Automating processes have the potential to significantly improve current methodologies for
generating maturity ratings to evaluate supply management performance across diverse …