Search Results - (( based interactive stemming algorithm ) OR ( java implementation learning algorithm ))
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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2
Web information retrieval (IR) interaction / Amirohaime Mahaidin
Published 2008“…Web information interaction retrieves the relevant website to user and applied stemming algorithm. …”
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3
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Eye makeup system using interactive genetic algorithm
Published 2010“…Interaction is required for user to determine the fitness funct ions used in Genetic Algorithm. …”
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Final Year Project Report / IMRAD -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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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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7
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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8
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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9
Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…Comparisons between the MR and PR models of the case studies are analyzed based on the eight selection criteria (8SCs). Factors contributing to the stem volume estimation are identified as tree height (T) and diameter at base (Db) as main contributors, while diameter at the middle (Dm), breast height (Dbh) and top (Dt) are significant contributors. …”
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10
Enhancing the natural language processing for Malay language stemming, identifying and correcting misspelled words identifying neologism
Published 2015“…The lack of works in building more effective algorithms in performing the stemming process, identifying misspelled words, and identifying neologism has affected the efficiency of retrieving relevant information or articles in Malay language. …”
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11
Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…Student input initiates the process, with user interaction allowing for timetable customization based on personal preferences. …”
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Article -
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease
Published 2016“…The identification of the main sources of multicollinearity was also performed based on correlation-based test and also variance-based test. …”
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14
Modelling the yield loss of oil palm due to ganoderma basal stem rot disease
Published 2016“…The identification of the main sources of multicollinearity was also performed based on correlation-based test and also variance-based test. …”
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15
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Conference or Workshop Item -
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Restaurant review system with data visualization and text search using TF-IDF algorithm / Syazwina Abd Hamid
Published 2020“…Term Frequency-Inverse Document Frequency (TF-IDF) algorithm is performed for text search, where it satisfies multiple keywords at a time and the search result for review is based on relevancy score. …”
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Computational Analysis of Gas Kinetic Bhatnagar-Grosskrook Scheme for Inviscid Compressible Flow
Published 2004“…Many numerical schemes have been developed in the field of computational fluid dynamics to simulate inviscid, compressible flows.Among those most notable and successful are the Godunov-type schemes and flux vector splitting schemes.Besides these numerical schemes, schemes based on the gas kinetic theory have been developed in the past few years.Stemming from this approach, the gas kinetic Bhatnagar-Gross-Krook (BGK) scheme is realized.In this thesis, the BGK scheme based on the BGK model of the approximate Boltzmann equation has been fully analyzed and developed accordingly.The numerical algorithms for the BGK scheme are first developed for simulating one-dimensional flow, and then follow by the-two dimensional flow realms. …”
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Sentiment analysis of customer reviews for Konda Kondi Cafe & Bistro
Published 2025“…The researcher also compared lexicon-based methods, such as VADER and SentiWordNet. The researcher deployed the final results through an interactive Power BI dashboard to present sentiment insights in a user-friendly visual format. …”
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Student Project -
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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