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  • Open Access


    Artificial Intelligence Based Language Translation Platform

    Manjur Kolhar*, Abdalla Alameen

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 1-9, 2021, DOI:10.32604/iasc.2021.014995

    Abstract The use of computer-based technologies by non-native Arabic-speaking teachers for teaching native Arabic-speaking students can result in higher learner engagement. In this study, a machine translation (MT) system is developed as a learning technology. The proposed system can be linked to a digital podium and projector to reduce multitasking. A total of 25 students from Prince Sattam Bin Abdulaziz University, Saudi Arabia participated in our experiment and survey related to the use of the proposed technology-enhanced MT system. An important reason for using this framework is to exploit the high service bandwidth (up to several bandwidths) made available for interactive… More >

  • Open Access


    A Critical Overview on Quantum Computing

    Saptarshi Sahoo1,*, Amit Kumar Mandal1, Pijus Kanti Samanta2, Indranil Basu1, Pratik Roy1

    Journal of Quantum Computing, Vol.2, No.4, pp. 181-192, 2020, DOI:10.32604/jqc.2020.015688

    Abstract Quantum Computing and Quantum Information Science seem very promising and developing rapidly since its inception in early 1980s by Paul Benioff with the proposal of quantum mechanical model of the Turing machine and later By Richard Feynman and Yuri Manin for the proposal of a quantum computers for simulating various problems that classical computer could not. Quantum computers have a computational advantage for some problems, over classical computers and most applications are trying to use an efficient combination of classical and quantum computers like Shor’s factoring algorithm. Other areas that are expected to be benefitted from quantum computing are Machine… More >

  • Open Access


    University Learning and Anti-Plagiarism Back-End Services

    Manjur Kolhar*, Abdalla Alameen

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1215-1226, 2021, DOI:10.32604/cmc.2020.012658

    Abstract Plagiarism refers to the use of other people’s ideas and information without acknowledging the source. In this research, anti-plagiarism software was designed especially for the university and its campuses to identify plagiarized text in students’ written assignments and laboratory reports. The proposed framework collected original documents to identify plagiarized text using natural language processing. Our research proposes a method to detect plagiarism by applying the core concept of text, which is semantic associations of words and their syntactic composition. Information on the browser was obtained through Request application programming interface by name Url.AbsoluteUri, and it is stored in a centralized… More >

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