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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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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…To derive a complete intelligent state-of-the-art hybrid control system, several experiments were conducted in the study. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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Final Year Project / Dissertation / Thesis -
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Implementation and Optimization of Human Tracking System Using ARM Embedded Platform
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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
Published 2012Get full text
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An adaptive neuro-fuzzy inference system employed cuk converter for PV applications
Published 2023Conference Paper -
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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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Application of minimax algorithm in dots and boxes game
Published 2025“…The core problem lies in developing a strategically competent AI capable of navigating the game's large decision space and computational demands. The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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Development of Straight Line Robot Movement Using Digital Compas Module
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Intelligent traffic lights using Q-learning
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Embedded vision system development using 32-bit Single Board Computer and GNU/Linux
Published 2011“…The main component for Embedded Vision System hardware design is an x86 TS5500 Single Board Computer (SBC), Logitech QuickCam Pro 4000 webcam, compact flash memory card, PCMCIA wireless network card, and a Desktop PC. …”
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