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13. Developing a hybrid adoptive neuro-fuzzy inference system in predicting safety of factors of slopes subjected to surface eco-protection techniques

Author

Sari, Puteri Azura, primary, Suhatril, Meldi, additional, Osman, Normaniza, additional, Mu’azu, M. A., additional, Katebi, Javad, additional, Abavisani, Ali, additional, Ghaffari, Naser, additional, Sadeghi Chahnasir, Esmaeil, additional, Wakil, Karzan, additional, Khorami, Majid, additional, and Petkovic, Dalibor, additional

Published
2019
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16. Enhancing Interaction Flow Modeling Language Metamodels for Designing Features of Rich Internet Applications

Author

Wakil, Karzan, A. Jawawi, Dayang N., Rachmat, Haris, Wakil, Karzan, A. Jawawi, Dayang N., and Rachmat, Haris

Abstract

Rich Internet Applications (RIAs) became to standard of interactive web applications on the internet fastly. It is a complex application with a rich user interface that distributed the data between client and server also allowing an asynchronous communication between them, but web engineering methods are not able to design and implement these features impeccably. The recent web engineering method is Interaction Flow Modeling Language (IFML) which adopted by Object Management Group (OMG). It has many features for developing interactions in web application compared with other web engineering methods but also has limitation for designing RIA features. In this paper, we enhance IFML method through extension the metamodels by using UML extension mechanism, in which, we define new IFML metamodel and some new elements to cope RIA features designing in data distribution between client and server. The results show that this enhancement enables IFML to develop the new types of web applications efficiently.

Published
2018

23. Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review.

Author

Bakhtyar, Ribwar, Wakil, Karzan, and Saeed, Soran

Subjects
PLAGIARISM, LITERARY ethics, AUTHORSHIP, ARABIC language, NUMERICAL analysis
Abstract

Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages, mainly English. In this paper we investigate and review the plagiarism detection techniques and algorithms which have been developed for Arabic Script Languages (ASL) and providing a literature review of the utilized methods in terms of techniques and outcomes. The result of this paper will help the researchers who are going to commence their development and extend their researches in ASL like Arabic, Persian, Urdu and Kurdish. [ABSTRACT FROM AUTHOR]

Published
2017
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