Search Results - (( making based method algorithm ) OR ( basic selection method algorithm ))
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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…At high iterations of 204 and above, method 3+0+0 dominates the best performance. Based on this finding, the selection of the best method can be decided based on the iteration time available. …”
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Thesis -
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FPGA implementation of the complex division in digital predistortion linearizer
Published 2010“…Here we implement complex division based on Newton Raphson method. This divider will be used in the Digital Predistortion for adaptation of the power amplifiers. …”
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A fuzzy case-based reasoning model for software requirements specifications quality assessment
Published 2023“…Basically, the input to the relevant cases algorithm is the available cases in the system case base and the output is the relevant cases. …”
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MOTION TARGET TRACKING OF MOBILE ROBOTS
Published 2015“…The main hardware and has been tested with basic programs based on the algorithms of the said methods. …”
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Final Year Project -
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…Furthermore, the prediction method should make decision and classify the images into correct groups. …”
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Research Report -
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Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi
Published 2018“…Model Reference concept has been adapted combined with an adaptive set point regulation method selected as an adaptation method. The development of the controller is prepared based on practicality and current set up of this equipment in industry. …”
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Thesis -
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Early detection of high water saturation spots for landslide prediction using thermal image analysis
Published 2018“…Furthermore, the prediction method should make decision and classify the images into correct groups. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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Thesis -
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…Through effective separation of benign from harmful packet flows, this method lessens the burden on the control plane while preserving communication bandwidth. …”
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Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…The proposed methods can be utilized as another option to solve a decision making problem.…”
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An ensemble feature selection method to detect web spam
Published 2018“…In addition, it improves classification metrics in comparison to basic feature selection methods.…”
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Application of induced preorderings in score function-based method for solving decision-making with interval-valued fuzzy soft information
Published 2021“…Currently, there are three interval-valued fuzzy soft set-based decision-making algorithms in the literature. …”
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Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach
Published 2023“…Firstly, the decision matrix is constructed based on the performance assessment criteria and routing algorithms. …”
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Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…This thesis proposes methods that can overcome the problems of good behaviour selection and good behaviour deletion. …”
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Thesis -
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…Based on the results of evaluations, the results obtained by DSF is better than the algorithms, basic block matching and dynamic programming.…”
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Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
Published 2021“…To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain a new subset of more informative features. …”
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Thesis -
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Comparative Study of Weighted Product–Dijkstra’s Algorithm and All Possible Path Approach Based on Multiple Criteria and Multi-Dimensions
Published 2020“…It was a combined algorithm of Weighted Product Method (WPM) and Dijkstra’s Algorithm. …”
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