Search Results - (( rate optimisation system algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
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Article -
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Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation
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Solving fuzzy-facilities layout problem using genetic algorithm
Published 2013“…Further, the obtained matrix is used for layout optimisation that conducted using Genetic Algorithm (GA). …”
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Proceeding Paper -
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Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…In the study, a 15-bus test system is employed and modelled in detail using Power System Analysis Toolbox (PSAT). …”
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Thesis -
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Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…Then, based on the characteristics of each species, decision making is done by means of ant colony optimisation as a search algorithm to return the optimal subset of features regarding the related species. …”
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Thesis -
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Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm
Published 2014“…In order to address this issue, an optimised feeder bus system is proposed. Hence, to achieve this, various optimisation algorithm needs to be studied and researched. …”
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Final Year Project -
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…AU simulation and optimisation works are carried out using gPROMS™. Two types of observations are made so as to study the performance of the proposed control algorithm mainly, the control of BGL values without meal disturbance and the control of BGL values following meals. …”
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Monograph -
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Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024thesis::doctoral thesis -
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A low complexity resource allocation algorithm for OFDMA cooperative relay networks with fairness and QoS guaranteed
Published 2011“…The remaining resources are then allocated to the users with higher instantaneous rates in order of magnitude. The results show that the proposed algorithm outperforms the greedy and static algorithms in terms of outage probability and fairness, and at the same time outperforms Jeong's algorithm by 58% in terms of total sum rate, with an average 74% reduction in system complexity.…”
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Article -
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Particle Swarm Optimised Controller for Solid-State Transfer Switch Towards Fast Power Transfer and PQ Mitigation
Published 2023Conference Paper -
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Development of a scalable video compression algorithm
Published 2012“…To improve the perceptual quality of coded video in a computation-constrained scenario, through controlling per-frame complexity, a rate-distortion optimised (RDO) rate control algorithm for encoding low bit rate video helped to achieve the target bitrates and PSNR using Lagrangian multiplier function. …”
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Proceeding Paper -
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Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
Published 2022“…This study also optimised parameters for the MLP-NARX model using the Particle Swarm Optimisation algorithm (PSO). …”
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Thesis -
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024“…In this paper, the optimised Apriori association rule algorithm is used as technical support to realise the function of interlocking fault diagnosis in the intelligent fault diagnosis system module. …”
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