Search Results - (( using optimization based algorithm ) OR ( pattern integration process algorithm ))
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Optimizing Central Pattern Generators (CPG) Controller For One Legged Hopping Robot By Using Genetic Algorithm (GA)
Published 2018“…This paper presents the optimization process of Central Pattern Generator (CPG) controller for one legged hopping robot by using Genetic Algorithm (GA).To control the one legged hopping robot,a CPG controller is designed and integrated with a conventional ProportionalIntegral (PI) controller.Conventionally,the CPG parameters are tuned manually.But by using this method,the parameters produced are not exactly the optimum parameters for the CPG. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…Currently available framework documentation approaches are not very effective for new framework users, and this scenario tends to discourage new users in using frameworks. The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
Conference paper -
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Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm
Published 2025“…Drawing from an extensive review of existing predictive models and cardiovascular health risk factors, this research proposes an enhanced ADAM optimization algorithm, integrated with advanced data processing and feature selection methodologies, to identify and refine key predictors for improved model performance. …”
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Optimization of medical image steganography using n-decomposition genetic algorithm
Published 2023“…To overcome these limitations, this study proposes a technique known as an n-decomposition genetic algorithm. This algorithm uses a variable-length search to identify the best location to embed the secret message by incorporating constraints to avoid local minimum traps. …”
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Thesis -
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Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…The algorithm complexity analysis was used to measure the execution time in the worst case. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The proposed algorithm will switch its working pattern based on the goal minimum and boundary maximum index distances. …”
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Antenna design using left-handed materials
Published 2008“…In addition, the system performs sidelobe cancellation base on the chebyshev algorithm to optimize the antenna radiation pattern. …”
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Monograph -
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Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
Published 2016“…In this work, interference reduction one of the major problem in wireless communication system, thus, hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) approach is one of the modern hybrid metaheuristic optimization algorithm applied to the smart antenna system. …”
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Conference or Workshop Item -
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. The methodology integrates a thorough literature review, meticulous data collection from reliable sources, and rigorous data pre-processing to ensure the dataset's quality and relevance. …”
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Thesis -
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Apply and optimize machine learning algorithms for estimating battery health
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Final Year Project / Dissertation / Thesis -
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Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun
Published 2021“…Apart from that, having low values in four of the performance criteria: RMSE, MAE, NSE, and RSR, have further strengthened the credibility of the results. As for the optimization process, the reservoir operation rule was derived using a meta-heuristic algorithm at the monthly interval. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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Antenna design using left-handed materials
Published 2008“…In addition, the system performs sidelobe cancellation base on the chebyshev algorithm to optimize the antenna radiation pattern. …”
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Monograph -
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Green network planning and operational power consumption optimization in LTE-A using artificial intelligence
Published 2015“…In this model, the rate of active relay stations is defined and integrated in the model as a varying function in time. …”
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A study on component-based technology for development of complex bioinformatics software
Published 2004“…The second layer uses discriminative SVM algorithm with a state-of-the-art string kernel based on PSI-BLAST profiles that is used to leverage the unlabeled data. …”
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Monograph -
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Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition
Published 2017“…To solve the problems mentioned, integration of unsupervised clustering algorithm and the supervised classifier is proposed. …”
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Thesis -
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Investigation of Trimodality Image Registration for Guiding Cardiovascular Diseases Treatment Procedure
Published 2024thesis::doctoral thesis -
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Performance investigation and multi-objective optimization of end milling of aluminium alloy 6061 T6 with coated and uncoated carbide tools under various cooling conditions
Published 2015“…Experimental results show the prospective utilization of water-based TiO2 nanofluid as MQL cooling medium. Comprehensive multi-objective optimization model using genetic algorithm is developed to optimize machining performance measures under different MQL conditions, based on Pareto optimal design approach. …”
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Thesis -
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Linear-PSO with binary search algorithm for DNA Motif Discovery / Hazaruddin Harun
Published 2015“…Motif Discovery (MD) is the process of identifying meaningful patterns in DNA, RNA, or protein sequences. …”
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