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Intelligent traffic lights using Q-learning
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Proceeding Paper -
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CSC583 - Artificial Intelligence Algorithms / College of Computing, Informatics and Media
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Teaching Resource -
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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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Conference or Workshop Item -
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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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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Thesis -
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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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Classification and detection of intelligent house resident activities using multiagent
Published 2013“…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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Conference or Workshop Item -
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection, incident detection, and vehicle speed estimation. …”
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Article -
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Media
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Teaching Resource -
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CSC779: Special Topic (Intelligent Systems) / College of Computing, Informatics and Mathematics
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
Published 2025“…The application of the recently developed flow direction algorithm, including its multi-objective variant with an �-based constraint-handling mechanism to OPF problem is the primary contributions of this work. …”
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Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
Published 2024“…The bubble departure and lift-off boiling (BDL) model was studied using computational intelligence techniques and hybrid algorithms. Quite a few studies have predicted the relationship between wall heat fluxes and wall temperature in the form of flow boiling curves. …”
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Article -
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INTELLIGENT OPTIMIZATION OF INTERLINE POWER FLOW CONTROLLER IN TRANSMISSION SYSTEM
Published 2010“…A new generation of FACTS controllers, particularly the Interline Power Flow Controller (IPFC) based on voltage source converter (VSC) provides fast power flow control flexibility. …”
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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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Teaching Resource -
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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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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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