Search Results - adaptive model difference ((optimisation algorithm) OR (extraction algorithm))
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EEG-based emotion recognition using machine learning algorithms
Published 2024“…Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
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Final Year Project / Dissertation / Thesis -
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Novel parameter extraction for single, double, and three diodes photovoltaic models based on robust adaptive arithmetic optimization algorithm and adaptive damping method of Berndt...
Published 2022“…In this work, we present a robust adaptive Arithmetic Optimization Algorithm based on the adaptive damping Berndt-hall-hall-Hausman (RaAOAAdBHHH) approach to efficacity determine the parameters of the single, double, and three diode PV model. …”
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An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Differing from other complex and difficult classification models, rules-based classification algorithms produce models which are understandable for users. …”
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Thesis -
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Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
Published 2015“…The optimised structure is used to predict three-difference control action simultaneously. …”
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Conference or Workshop Item -
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Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling
Published 2010“…The major thrust of this algorithm lies in its ability to integrate the key components of populationbased methods and local search-based methods in the same optimisation model. …”
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Thesis -
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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The proposed controller is a hybrid model reference adaptive speed controller (HMRASC) which mainly consists of two functional blocks. …”
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Thesis -
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Parameter extraction of photovoltaic module using hybrid evolutionary algorithm
Published 2023Conference Paper -
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Multivariable Adaptive Lyapunov Fuzzy Controller for pH Neutralisation Process
Published 2015“…The optimised structure is used to predict three-difference control action simultaneously. …”
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Article -
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The first part involves a review of prior locustinspired algorithms, while the second part concerns the adaptation of the algorithm to the cloud computing paradigm. …”
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Thesis -
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
Published 2025“…With various optimization algorithms available, choosing the one that best suits the deep learning model and dataset can make a substantial difference in achieving optimal results. …”
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Proceeding Paper -
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Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction o...
Published 2023“…Confirmatory experiments were carried out in the biogas plant under this set of optimised variables for a period of two months. The predicted biogas production and methane yield are highly correlated to the actual data with small percentage difference of 1.25 and 5.09 respectively, indicating that ANFIS model was accurate and reliable. …”
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Adapting And Hybrid Ising Harmony Search With Metaheuristic Components For University Course Timetabling
Published 2010“…The major thrust of this algorithm I ies in its abiiity to integrate the key components of populationbased methods and local search-based methods in the same optimisation model. …”
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Thesis -
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Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification
Published 2015“…In order to conduct the AEC, three adaptive algorithms known as affine projection (AP), least mean square (LMS), and recursive least squares (RLS) are used during the preprocessing phase. …”
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Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network
Published 2022“…In a novel cross-disciplinary twist, we propose to adapt DOE approach to the optimisation of restaurant atmosphere. …”
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Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron
Published 2017“…Meanwhile, the existing harmonics extraction algorithm known as modified Widrow- Hoff adaptive linear neuron (ADALINE) algorithm, still has unnecessary features which unfortunately disturbs performance of the algorithm to extract harmonics accurately in both steady-state and dynamic operations. …”
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Thesis -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Thesis -
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SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model
Published 2011“…The intra-node competition is based on an adaptive weighting technique on two different signal models to better represent these two classes of signals. …”
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Article