Search Results - (( intelligence systematic mapping algorithm ) OR ( intelligent system teaching algorithm ))
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CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media
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CSC583: Artificial Intelligence Algorithms / College of Computing, Informatics and Mathematics
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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. …”
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A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Published 2025“…This led to the inclusion of 21 articles for the systematic literature review. The findings suggest that employees are concerned about system biases and unconsented data usage for algorithmic decisions in employment practices. …”
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Depression prediction using machine learning: a review
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Simulation and Design of an Intelligent Mobile Robot for Fire Fighting
Published 2003Get full text
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media
Published 2015Get full text
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics
Published 2012Get full text
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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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CSC728 - Machine Learning / College of Computing, Informatics and Media
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CSC728: Machine Learning / College of Computing, Informatics and Mathematics
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Intrusion Detection Systems, Issues, Challenges, and Needs
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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“…Thus, this project proposes a solution to the problems by utilizing the machine learning approach which is the Agglomerative clustering algorithm. 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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