Search Results - (( developing practical selection algorithm ) OR ( based application using algorithm ))
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…Further, the performances of the developed algorithms are assessed in solving selected practical problems in business, mechanical/manufacturing engineering and electrical engineering fields. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. …”
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4
Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Further more, an improved non-dominated sorting genetic algorithm with an elite strategy II (IMNSGA-II) has been developed to solve the two bi-objective models, surpassing existing literature’s algorithms such as Pareto Envelope-based Selection Algorithm II (PESA-II) and NSGA-II. …”
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5
Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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The development of semantic meta-database: an ontology based semantic integration of biological databases
Published 2007“…The tool comprises two intelligent algorithms. The first algorithm combines parallel genetic algorithm with the split-and-merge algorithm. …”
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…This thus requires a priori selection of weighting structures. Practical implications – The proposed MODE-infinity controller algorithm is expected to ease the design and deployment of the robust controller in autonomous helicopter application especially for practicing engineer with little experience in advance control parameters tuning. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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Developing best practice guidelines for oral cancer management in Malaysia / Aznilawati Abdul Aziz
Published 2017“…Enhancing the quality of care for oral cancer patients requires an evidence-based framework outlining the current and best practices in patient management. An evidence-based practice guideline can be used as a decision guide for oral cancer teams and cancer patients in selecting the best option of oral cancer care. …”
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10
Earthquake prediction model based on geomagnetic field data using automated machine learning
Published 2024“…Several features were extracted from them through wavelet scattering transform (WST). The features were used as the input to model optimization, of which the strategy for automatic algorithm selection and hyperparameter tuning was performed based on the asynchronous successive halving algorithm (ASHA). …”
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Harmony search-based robust optimal controller with prior defined structure
Published 2013“…For further assessment, the proposed design strategy is then employed to design a control law for an electrical DC drive velocity controller used as a benchmark problem for the recent PSO-based and genetic algorithm optimization (GAO)-based robust controllers. …”
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12
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…System identifiction (SI) is a methodology for developing mathematical models of dynamic systems using measurements of input and output signals. …”
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Development of a systematic method in lean tool selection for automotive industry
Published 2012“…Based on the systematic features of this algorithm, the efficiency and effectiveness of the model in presenting optimizing techniques for lean tool selection with the automotive industry seems reasonable and useful. …”
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15
Development of efficient t-way test data generation algorithm and execution strategies
Published 2012“…The lack of resources, cost factors and tight deadlines to market are some of the main factors that prevent this consideration. In current practice, usually the test-data are selected and executed randomly. …”
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An Automated System For Classifying Conference Papers
Published 2021“…In conclusion, an automated paper classification system was successfully developed using classification models and its practical usage was demonstrated on a web-based research conference system to help chairmen in assigning papers to suitable reviewers.…”
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Final Year Project / Dissertation / Thesis -
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…Supervised and unsupervised machine learning algorithms particularly the Support Vector Machine (SVM) and Density Based Spatial Clustering of Application with Noise (DBSCAN) are used in this study. …”
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19
Development Of Construction Noise Prediction Method Using Deep Learning Model
Published 2021“…A simple prediction chart method was developed on top of a stochastic algorithm called Monte Carlo simulation by complying with the standard BS 5228 for the noise prediction in the environmental impact assessment during the planning stage of a construction project. …”
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Final Year Project / Dissertation / Thesis -
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