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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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Heuristic factors in ant system algorithm for course timetabling problem
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Final Year Project / Dissertation / Thesis -
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…The objective of this study was to solve the robot dynamic hybrid control problem using intelligent computational processes. In the course of problem- solving, biologically inspired models were used. …”
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Thesis -
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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. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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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. This course aims to introduce Machine Learning to postgraduate students in Artificial Intelligence. …”
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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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A PSO inspired asynchronous cooperative distributed hyper-heuristic for course timetabling problems
Published 2017“…The performances of the proposed cooperative hyper-heuristics are evaluated using the standard course timetabling benchmark problem. From the experimental results, it shows that the proposed Asynchronous Cooperative Distribute Low-level heuristics (ACDLLHs) algorithm is able to find new best solutions for all five medium problem instances and shared optimal solutions for all five small instances. …”
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Article -
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Fast sequential learning methods on RBF-network using decomposed training algorithms
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Conference or Workshop Item -
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…RF was the most precise algorithm for predicting grades A, B, and C, followed by LR, DT, and SVM. …”
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Hybrid Metaheuristic Algorithm and Metaheuristic Performance Measurement for Solving University Course Timetabling Problem
Published 2007“…Metaheuristics have received considerable interest in the fields of applied artificial intelligence and combinatorial optimization such as university course timetabling problem (UCTP). …”
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…The course was divided into two groups, an experimental group and a control group. …”
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Intelligent traffic lights using Q-learning
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Proceeding Paper -
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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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