Search Results - (( using solution matching algorithm ) OR ( java application learning algorithm ))
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Artificial neural network and inverse solution method for assisted history matching of a reservoir model
Published 2017“…In recent years, the use of assisted history matching has become prominent among academia and the industry and has significantly shortened the time required for manual history matching. …”
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Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
Published 2017“…Lastly, this algorithm obtains convergence result and met the optimal solution.…”
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Student Project -
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
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Ontology matching: in search of challenges ahead
Published 2015“…This paper elaborates technologies, tools, algorithms and methods used by recent ontology matchers. …”
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Traditional schema theory does not support Lamatckian learning, i.e, forcing the genetic representation to match the solution found by the learning algorithm. …”
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A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
Published 2024“…In this study, we examine the worker selection mechanism as explored in prior research and put forth a novel worker selection model incorporating a profile matching algorithm. The subsequent phase involves enhancing the profile matching algorithm to accommodate nested criteria for matching worker requirements. …”
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Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching
Published 2014“…This project will study the applicability of the combined algorithm for history matching problem. The study conducted on PCA and RLS method shows high chances of success in applying these methods for history matching problem. …”
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Final Year Project -
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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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Design Of Perturbative Hyper-Heuristics For Combinatorial Optimisation
Published 2019“…Approximation algorithm is a sub-class of techniques which is able to provide sub-optimal solution(s) with reasonable computational cost. …”
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TRIZ Approach to FYP Title and Supervisor Matching System
Published 2023“…In this paper, the proposed system follows a stepwise Waterfall methodology and utilizes TRIZ principles during the analysis phase to provide a satisfactory solution. The system incorporates an algorithm that considers students' CGPA, preferences, and titles for matching. …”
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Final Year Project Report / IMRAD -
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A fuzzy case-based reasoning model for software requirements specifications quality assessment
Published 2023“…The fuzzy Logic technique works on the selected nearest cases and it utilizes similarity measurement methods to classify the cases into no-match, partial-match and complete-match cases. The features matching results assist the revised step of the CBR to generate a new solution. …”
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Keyword Competition Approach In Ranked Document Retrieval
Published 2010“…Keyword based ranking scheme consists of two (2) main phases; namely keyword solution matching and similarity percentage formulation. …”
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Thesis -
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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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