This paper provides an overview and analysis of the basic theory of deep learning (DL), and
specifically, a number of important algorithms were compared and analyzed. The article …

Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …

Abstract Optical Character Recognition (OCR), helps to convert different types of scanned
documents, such as images into searchable and editable content. OCR is language …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Develo** an optimal …

This paper proposes an innovative method to improve the attribute weighting approaches for
naïve Bayes text classifiers using the improved distance correlation coefficient. The resulted …

This paper gives an across-the-board comprehensive review and survey of the most
prominent studies in the field of Urdu optical character recognition (OCR). This paper …

Text categorization remains a formidable challenge in information retrieval, requiring
effective strategies, especially when applied to low-resource languages such as Italian. This …

Digital text is increasing day by day on the internet. It is very challenging to classify a large
and heterogeneous collection of data, which require improved information processing …

Discovering what other people think has always been a key aspect of our information-
gathering strategy. People can now actively utilize information technology to seek out and …

In the last decade, online content has entered a stage where news related organizations are
reluctant to invest in offline operations due to excessive aberrations in content distributions …