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  • BRAIN: Prediction of Thyroid Disease Using Data Mining TechniquesBRAIN: Prediction of Thyroid Disease Using Data Mining Techniques
    A new research conducted by Irina Ioniță and Liviu Ioniță, has been indexed in BRAIN journal, featuring a innovative Prediction of Thyroid Disease using Data Mining Techniques. As of late, thyroid ailments are increasingly spread …
  • LiBRI: The Sacred in Literature and Arts
    We all know that the sacred is present in our lives, but sometimes we cannot understand it and perceive it. This paper represents and endeavor of synthesizing knowledge from the field of arts, literature, art …
  • LiBRI: Kant and Coleridge on the Issue of MoralityLiBRI: Kant and Coleridge on the Issue of Morality
    LiBRI has a very interesting article written by Nicolae-Andrei Popa. He is giving some insight on the Issue of Morality from the point of view of Kant and Coleridge. This paper seeks to contrast Kant’s …
  • SMART 2017 International ConferenceSMART 2017 International Conference
    SMART 2017 – Scientific Methods in Academic Research and Teaching is an international conference, which will be held in Timișoara, Romania, between September 8 and September 9, 2017. This year, the conference will focus on three …
  • BRAIN: Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics
    In order to ensure optimal teaching conditions for university students, attention should be brought to their personality traits and academic performance. In the paper Personality Questionnaires as a Basis for Improvement of University Courses in …
  • BRAIN: Cursor Movement – a Valuable Indicator in Intelligent System Design
    It is safe to affirm that in the present days, digital devices have become indispensable. However, the emotional state of the users of said devices tends to be ignored or considered a dispensable input. In …
  • BRAIN: Social Media in Science EducationBRAIN: Social Media in Science Education
    The latest volume of the BRAIN Journal has a new intriguing research on Training Teachers for the Knowledge Society: Social Media in Science Education  offered by Dana Crăciun and Mădălin Bunoiu from West University of …
  • BRAIN Journal: Success in Mobile and Ubiquitous Learning: Indicators of EffectivenessBRAIN Journal: Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness
    Mobile learning, also known as m-learning, is an educational system. Mobile learning supports, with the help of mobile devices, a continuous access to the learning process. This can be on appliances like your phone, laptop or …
  • BRAND: Eye on China and United StatesBRAND: Eye on China and United States
    The latest volume of the BRAND. journal presents a new study developed by Milad Mahyari and Minoo Alemi, who analysed an eventual economical conflict between China and the United States of America. United States endeavors …
  • LiBRI: The Evolution of Na in Bantu LanguagesLiBRI: The Evolution of Na in Bantu Languages
    H.M. Batibo and Marie-Françoise Rombi have reflected upon the evolution of Na in Bantu Languages and have brought their research to light in the latest volume of LiBRI journal. The link word na in Bantu …
  • BRAIN: Browsing Semantic Data in SlovakiaBRAIN: Browsing Semantic Data in Slovakia
    Ján Mojžiš and Michal Laclavík present an interesting topic in the academic article Browsing Semantic Data in Slovakia in the latest volume of BRAIN journal. Semantic data browsing is an important task for open and governmental data in …
  • BRAND: The Role of the Penalty Clause in BusinessBRAND: The Role of the Penalty Clause in Business
    In the latest volume of the BRAND, the legal adviser Maria Stegariu, in the article The Role of the Penalty Clause in Business, explains the most important things that need to be known regarding the …

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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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