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  • Women and Girls in STEMWomen and Girls in STEM
    STEM education has become more and more important, and it is required for an interconnected global economy. The acronym refers to a range of academic disciplines, such as science, technology, engineering, and mathematics, meant to …
  • BRAND: Dynamics of the number of participants in the private pension
    Tudor Colomeischi and Eugenia Iancu have done a stimulating research on the Dynamics of the number of participants in the second pillar of mandatory private pension of Romania during May 2008 – November 2014. The …
  • BRAND: Freedom Of Expression In The View Of Community Law
    Professor Ion Țuțuianu from Vasile Alecsandri University, Faculty of Economic Sciences, writes an intriguing article in BRAND journal, about the freedom of expression from a legal point of view. Regardless of the fact that freedom …
  • BRAIN: Generation Y Students in Social MediaBRAIN: Generation Y Students in Social Media
    Daniela Popescul and Mircea Georgescu present a new research indexed in BRAIN Journal on a very actual topic: Generation Y Students in Social Media. The purpose of this study is to estimate what it is known …
  • BRAIN: Automatic Anthropometric System Development Using Machine Learning
    In the latest volume of the BRAIN journal, Long The Nguyen and Huong Thu Nguyen from Irkutsk National Technical University in Lermontov, Russia have developed a research paper on the Automatic Anthropometric System Development using …
  • BRAIN: Intelligent System for Diagnosis of a Three-Phase Separator
    Wise frameworks for analysis have been utilized as a part of an assortment of spaces: budgetary assessment, credit scoring issue, distinguishing proof of programming and equipment issues of mechanical and electronic hardware, therapeutic determination, shortcoming …
  • Review on “A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count”Review on “A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count”
    One of the biggest problems that we can encounter when scaling a picture that’s small to a big dimension is the fact that small scaled image are losing some important bits of information which cannot …
  • BRAIN: A speech to text transcription approach based on Romanian corpusBRAIN: A speech to text transcription approach based on Romanian corpus
    Speech recognition applications enable the recognition and translation of spoken languages into text by computers. Due to the fact that the traditional approaches are costly and time consuming, the worldwide industry adopted speech recognition systems. …
  • BRAND: Research on Corruption – A Major Global ProblemBRAND: Research on Corruption – A Major Global Problem
    In the latest volume of the BRAND journal, Elena Cristina Pană and Ileana Nișulescu from Academy of Economic Studies Bucharest, Romania give some additional understanding about corruption, from a worldwide perspective. Corruption in the public sector …
  • BRAIN: Brain Functors
    BRAIN journal has recently published its latest volume Brain Functors: A mathematical model of intentional perception and action by David Ellerman. Classification hypothesis has foundational significance since it gives applied lenses to describe what is …
  • LiBRI: Questioning Communication Models and ConstructsLiBRI: Questioning Communication Models and Constructs
    LiBRI is an international journal for specialists in linguistics, literature, cultural studies, and related fields. Paul Rastall is contributing with a research in the latest volume of the LiBRI journal: Questioning Communication Models and Constructs …
  • BRAND: Using Reporting in the Internal Communication Process of the CompanyBRAND: Using Reporting in the Internal Communication Process of the Company
    Internal communication can be viewed either as a subsistent procedure of the association, or as a procedure helping to decode and comprehend them more effectively . The author, Cornel Marian Iosif states that associations depend on …

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BRAIN: Novel Ontologies-Based OCR – Error Correction Cooperating with Graph Component Extraction

The article written by Sarunya Kanjanawattana and Masaomi Kimura is a study about Optical Character Recognition (OCR), which represents a a typical tool used to transform image-based characters to computer editable characters. The two illustrate a novel method which is a combination of a graph componenet extraction and an OCR-error correction.

In the last years, graphs became very important to researches, as they contain significant information which can be extracted and used. Graphs offer data summarization which presents essential information that is interpreted by acquiring small descriptive details. In order to succeed in obtaining a primary interpretation, OCR was created, which is an approving solution used for acquiring graph components as a digital format o character letters.  This study uses a collection of bar graphs which contains at least axis descriptions and a legend in order to illustrate OCR.

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