Search Results - (( making using modified algorithm ) OR ( java application learning algorithm ))
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The new proposed method (MBPSO+MKN+GK) Gustafson- Kessel algorithm (GK)integrated with modified of Kohonen Network algorithm (MKN)and modified binary particle swarm optimization (MBPSO) was used to classify the credit scoring data. …”
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Thesis -
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A Modified LRE-TL Real-Time Multiprocessor Scheduling Algorithm
Published 2013“…We have conducted an independent-samples t test to compare tasks migration using the original LRE-TL algorithm and the modified algorithm. …”
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Conference or Workshop Item -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…Significant modifications to the basic Jaya algorithm are done to create a modified Jaya (MJaya) algorithm that can handle the MOOPF problem. …”
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Article -
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A modified LRE-TL real-time multiprocessor scheduling algorithm
Published 2014“…We have conducted an independent-samples t-test to compare tasks migration using the original LRE-TL algorithm and the modified algorithm. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Comparison of path planning in simulated robot
Published 2020“…There are 4 path planning algorithms will be compared, which are Dijkstra’s algorithm, A* algorithm, RapidExploring Random Tree (RRT) algorithm, and the last one is an algorithm modified from A*. …”
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Final Year Project / Dissertation / Thesis -
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Improving test efficiency through multiple criteria coverage based test case prioritization using modified heuristic algorithm
Published 2016“…The fault detection capability of a prioritized test suite is improved up to 15 using Modified PSO which forms the base algorithms for prioritization. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
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Proceeding Paper -
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Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
Published 2022“…This research makes a two-fold contribution: (a) Proposition of a novel 2S-ALB with resource-constrained model and (b) a modified PSO algorithm with enhanced performance.…”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…Tone mapping was originally used in the field of art where artists make use of a limited palette to depict high contrast scenes. …”
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Thesis -
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…The solution’s construction is modified using the concept of global best operator that is used in the Particle Swarm Optimization (PSO). …”
thesis::doctoral thesis -
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Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…To overcome this, a Functional Link Neural Networks (FLNN) which has a single layer of trainable connection weights is used. The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
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Thesis -
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm uses the min-max operator for fuzzy reasoning and peak-point defuzzification which make the process simpler. …”
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Reducing Tasks Migration in LRE-TL Real-time Multiprocessor Scheduling Algorithm
Published 2013“…To verify our work, an independent-samples t-test is used to compare tasks migration using the original LRE-TL algorithm and the modified one. …”
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Conference or Workshop Item
