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Akademický článek

A smart system for student performance assessment (SPA)

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract The proposed smart system for Student Performance Assessment (SPA) is a system that evaluates students' knowledge and skill attainment in a specific course by measuring their achievements of the Course Learning Outcomes (CLOs). The instructo

Externí odkaz: https://doaj.org/article/63cc01dc614c4eb98e5d7994c8b49117

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Virtual Teaching Assistant for Capturing Facial and Pose Landmarks of the Students in the Classroom Using Deep Learning

Autor: Samer Rihawi, Samar Mouti, Roznim Mohamed Rasli, Shamsul Ariffin

Publikováno v: International Journal of e-Collaboration. 19:1-12

This research focuses on the learning challenges that both students and teachers face during the learning process. It addresses the different techniques and methods used for face recognition. The proposed VTA model uses the convolutional neural netwo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7ad886d94bccbe9615adc8c5d58e5ec
https://doi.org/10.4018/ijec.316663

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Special Needs Classroom Assessment Using a Sign Language Communicator (CASC) Based on Artificial Intelligence (AI) Techniques

Autor: Samar Mouti, Samer Rihawi

Publikováno v: International Journal of e-Collaboration. 19:1-15

This research focuses on deaf students in the United Arab Emirates. The proposed classroom assessment using sign language communicator (CASC) for special needs students (SN) in the United Arab Emirates is based on artificial intelligence (AI) tools.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b2cb653411240657eb9b1cf5ab1b3f5
https://doi.org/10.4018/ijec.313960

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Cyber Security Risk management with attack detection frameworks using multi connect variational auto-encoder with probabilistic Bayesian networks

Autor: Samar Mouti, Surendra Kumar Shukla, S.A. Althubiti, Mohammed Altaf Ahmed, Fayadh Alenezi, Mahendran Arumugam

Publikováno v: Computers and Electrical Engineering. 103:108308

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38d0db2af3d7501191dc6069045d5290
https://doi.org/10.1016/j.compeleceng.2022.108308

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Design of Syntactical Morphological and Semantical Analyzer (SMSA) for Processing Arabic Texts

Autor: Fadel Sukkar, Samar Mouti

Publikováno v: Intelligence and Security Informatics ISBN: 9783540344780
ISI

This research describes an ongoing expert system developed for Natural Language Processing (NLP), and presents an approach for Arabic language manipulation, which integrates Syntactical Morphological and Semantical Analyzer (SMSA). Informational goal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b65708da58c3fd6f384bb4b9406a0304
https://doi.org/10.1007/11760146_70

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