<p style='text-indent:20px;'>In this paper, we consider the multiplicity of nodal solutions for following Kirchhoff type equations:</p><p style='text-indent:20px;'><disp-formula> <label/> <tex-math id="FE1"> \begin{document}$ \begin{equation*} \left\{ \begin{array}{ll} -\varepsilon^2M\left(\varepsilon^{2-N}||\nabla u||^2_{L^2}\right)\Delta u+u = f\left(x\righ...

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

<p style='text-indent:20px;'>We study the second-order boundary value problem</p><p style='text-indent:20px;'><disp-formula> <label/> <tex-math id="FE1"> \begin{document}$ \begin{equation*} \begin{cases}\, -u'' = a_{\lambda,\mu}(t) \, u^{2}(1-u), & t\in(0,1), \\\, u'(0) 0, \quad u'(1) 0,\end{cases} \end{equation*} $\end{document} </tex-math><...

Document clustering is the act of collecting similar documents into clusters, where similarity is some function on a document. Document clustering method achieves 1) a high accuracy for documents 2) document frequency can be calculated 3) term weight is calculated with the term frequency vector. Document clustering is closely related to the concept of data clustering. Document clustering is a m...

Indexing used in text summarization has been an active area of current researches. Text summarization plays a crucial role in information retrieval. Snippets generated by web search engines for each query result is an application of text summarization. Existing text summarization techniques shows that the indexing is done on the basis of the words in the document and consists of an array of the...

Increased advancement in a variety of study subjects and information technologies, has increased the number published research articles. However, researchers are facing difficulties devote significant time amount locating scientific publications relevant to their domain expertise. In this article, an approach document classification is presented cluster text documents articles into expressive g...

Electronic documents are becoming increasingly popular in various industries and sectors as they provide greater convenience cost-efficiency than physical documents. PDF is a widely used format for creating sharing electronic documents, while HTML commonly mobile environments the foundation web pages displayed on devices, such smartphones tablets. more critical document have been raised primary...

This paper focuses on the problem of bringing a business process document to a consistent state after exceptional occurrences. Although many traditional recovery methods can support exception handling, they are mainly concerned with process backtracking, forward stepping, and compensation. However, prior to the use of recovery algorithms, it is essential to find a rollback activity for organiza...

This paper describes a simple way of adapting the BM25 ranking formula to deal with structured documents. In the past it has been common to compute scores for the individual fields (e.g. title and body) independently and then combine these scores (typically linearly) to arrive at a final score for the document. We highlight how this approach can lead to poor performance by breaking the carefull...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.08.045 ⇑ Corresponding author. E-mail address: [email protected] (S.-J. L We present a novel method for detecting near-duplicates from a large collection of documents. Three major parts are involved in our method, feature selection, similarity measure, and discriminant derivation. To find near-dupli...