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Clustering autism spectrum disorder student’s system based on intelligence, skills and behavior using agglomerative clustering algortihm / Daarin Nadia Nordin
Published 2020“…Previous studies shows that homogenous grouping of autistics students yields positive results, therefore, this project proposes to design and develop a clustering model system known as the CASDSS (Clustering Autism Spectrum Disorder Students System) where the main goal of this system is to create a homogenous grouping of the ASD students based on their behaviour, skills and intelligence. …”
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Fuzzy Logic Approach for Mobile Robot in Intelligent Space
Published 2008“…This project introduces the fuzzy logic approach for mobile robot in intelligent space. There are three major algorithms involved. …”
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics
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CSC728 - Machine Learning / College of Computing, Informatics and Media
Published 2022“…The ability to learn is a fundamental characteristic of intelligent behavior. …”
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CSC728: Machine Learning / College of Computing, Informatics and Mathematics
Published 2017“…The ability to learn is a fundamental characteristic of intelligent behavior. …”
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Teaching and learning qur'anic Arabic utilizing adaptive and intelligent systems for collaborative learning (EDW B13-084-0969)
Published 2015“…Despite the availability of conventional resources for this purpose, according to our detailed investigation, no empirical research has explored the possibilities of emerging adaptive and intelligent systems for collaborative learning to address this challenge. …”
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Ontology based approach to Fuzzy student model design
Published 2014“…ITS is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide a personalized tutoring adaptable to each student based on his/her profile or characteristics. …”
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DSC722: Research Methodology / College of Computing, Informatics and Mathematics
Published 2020“…The areas include business intelligence, machine learning algorithms, big data analytics, and optimization and decision support systems. …”
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Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih
Published 2001“…The purpose of the study is to develop a web-based self assessment information system that can be used to obtain a model for prediction of information technology competency among teacher trainees in teaching institutes. …”
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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review
Published 2022“…The continuous development of new technology and rapid advancement of Artificial Intelligence (AI) contribute to the improvement and enrichment of the teaching and learning process. …”
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…Chatbots with artificial intelligence technology can be used to teach the students by turning a lecture in a series of messages to make it look like a standardised chat conversation. …”
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…This paper illustrates architecture to handle which latches into the existing framework and its eco-systems. The proposed architecture provides future researchers to validate their algorithm and get the provisioned output for the teaching-learning added for intelligent applications Keywords; Educational Data, Big Data, Data Analytics, Data Mining, Knowledge Discovery…”
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Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman
Published 2022“…Artificial intelligence models are built based on neural network algorithms and the supervised machine learning technique. …”
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