Fact distribution in Information Extraction

Stochastic Fuzzy Discrimination Information Measure Cost Function in Image Processing

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...

Enabling Public Access to Non-Open Access Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction

The general public shows great potential for utilizing scientific research. For example, a singer discovered her ectopic pregnancy by looking up clinical case reports. However, an exorbitant paywall impedes the public’s access to scientific literature. Our case study on a social network demonstrates a growing need for non-open access publications, especially for biomedical literature. The chall...

Mean Drop Size and Drop Size Distribution in a Hanson Mixer-Settler Extraction Column

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Nowadays, automatic analysis of music signals has gained a considerable importance due to the growing amount of music data found on the Web. Music genre classification is one of the interesting research areas in music information retrieval systems. In this paper several techniques were implemented and evaluated for music genre classification including feature extraction, feature selection and m...

A Specialised Verb Lexicon as the Basis of Fact Extraction in the Biomedical Domain

The BioLexicon is a standardised, reusable, lexical and conceptual resource suitable for advanced biomedical text mining. One of the unique features of the BioLexicon is the incorporation of rich syntactic and semantic patterns for a wide range of domain-relevant verbs, which have been acquired semiautomatically from biomedical corpora. Such types of information can be highly beneficial for inf...

Stochastic Comparisons of Probability Distribution Functions with Experimental Data in a Liquid-Liquid Extraction Column for Determination of Drop Size Distributions

The droplet size distribution in the column is usually represented as the average volume to surface area, known as the Sauter mean drop diameter. It is a key variable in the extraction column design. A study of the drop size distribution and Sauter-mean drop diameter for a liquid-liquid extraction column has been presented for a range of operating conditions and three different liquid-liquid sy...