Search Results - (( intelligence system thinking algorithm ) OR ( intelligence practices scheduling algorithm ))
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A study of packet scheduling algorithms in long term evolution-advanced
Published 2019“…The simulation results obtained demonstrate the efficacy of RM2 scheduling algorithm over other scheduling algorithms in maximizing the system capacity and is more robust on the effect of the cellular channel impairments.…”
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Improving real-time multimedia scheduling in practical mobile cellular channels
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Proceeding Paper -
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Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
Published 2018“…To deal with this complicated problem, Series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed in this paper. …”
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Enhancing Harmony Search Parameters Based On Step And Linear Function For Bus Driver Scheduling And Rostering Problems
Published 2018“…Optimization is a major challenge in numerous practical world problems.According to the “No Free Lunch (NFL)” theorem,there is no existing single optimizer algorithm that is able to resolve all issues in an effective and efficient manner.It is varied and need to be solved according to the specific capabilities inherent to certain algorithms making it hard to foresee the algorithm that is best suited for each problem.As a result,the heuristic technique is adopted for this research as it has been identified as a potentially suitable algorithm.Alternative heuristic algorithms are also suggested to obtain optimal solutions with reasonable computational effort.However,the heuristic approach failed to produce a solution that nears optimum when the complexity of a problem increases;therefore a type of nature-inspired algorithm known as meta-euristics which utilises an intelligent searching mechanism over a population is considered and consequently used.The meta-heuristic approach is widely used to substitute heuristic terms and is broadly applied to address problems with regards to driver scheduling.However,this meta-heuristic technique is still unable to address the fairness issue in the scheduling and rostering problems.Hence,this research proposes a strategy to adopt an amendment of the harmony search algorithm in order to address the fairness issue which in turn will escalate the level of fairness in driver scheduling and rostering.The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems.In this respect,the three main operators in harmony search,namely the Harmony Memory Consideration Rate (HMCR),Pitch Adjustment Rate (PAR) and Bandwidth (BW) play a vital role in balancing local exploitation and global exploration.These parameters influence the overall performance of the HS algorithm,and therefore it is crucial to fine-tune them. …”
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Thesis -
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Solving Economic Dispatch Problems with Practical Constraints Utilizing Differential Search Algorithm
Published 2013“…This paper presents a recent swarm intelligence technique namely Differential Search (DS) algorithm in solving Economic Dispatch (ED) problems with considering the practical constraints in power system. …”
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Conference or Workshop Item -
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023Short Survey -
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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Undergraduates Project Papers -
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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
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Student Project -
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An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication
Published 2019“…Frequency shift keying (FSK) technique has been adopted for transmitting the binary signal over the power line communication (PLC). A part of the algorithm is utilized to deal with the optimal scheduling control while the other actuates the dynamic demand response based Photovoltaic (PV) power forecasting. …”
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Proceeding -
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Agent architectures (building chatterbot) / Umi Aimah Abu Bakar
Published 2003“…Finally, this report also included the system development tools chosen plus, the details of system design for MILAH chatterbot. …”
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Predicting Diseases Using Multi-BackPropagation
Published 2002“…The computer becomes more important with the introduction of the intelligent system. The intelligent medical system increases the ability of medical practitioners in providing diagnosis and prognosis. …”
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An Effective Power Dispatch Strategy for Clustered Microgrids While Implementing Optimal Energy Management and Power Sharing Control Using Power Line Communication
Published 2020“…A part of the algorithm is utilized to deal withthe optimal scheduling control, whereas the other actuates thedynamic-demand-response-based photovoltaic power forecasting.The performance of the proposed approach with the formulatedbackup injection index has been validated using data collectedfrom the practical network of “Bario, Sarawak.” …”
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A Combinatorial Optimisation of Rater Allocation (Cora): A Discrete Algebraic Formalism for Round-Robin Scheduling In High-Stakes Speaking Assessment
Published 2026conference output::conference proceedings::conference paper -
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A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era
Published 2022“…The results from the analysis and design of the BMC and SC indicate that the principal changes required to digitally transform the university to a UotF include: the adoption of an open learning system for flexible and lifelong learning; transitioning the campus to a more 'smart', eco-friendly and sustainable campus; incorporating the latest artificial intelligence, machine learning algorithms, and data analytics to improve the university‘s management systems and enhance delivery mechanisms for teaching and learning; and to improve community engagement relationships and partnerships to deliver value to the economic, health and safety of the society, as well as to leverage the open learning system to provide curated courses to niche categories of students locally and globally.…”
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Design, analysis and fabrication of automatic plant watering system
Published 2024“…The main objective of this final year project is to design and implement an Automatic Plant Watering System that utilizes sensor technology and intelligent control algorithms to maintain the ideal moisture levels in the soil. …”
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Student Project -
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Artificial Neural Network Flood Prediction for Sungai Isap Residence
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Conference or Workshop Item
