Search Results - (( developing using generalised algorithm ) OR ( java implementation learning algorithm ))
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1
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
Ball surface representations using partial differential equations
Published 2015“…Thus, this research develops an algorithm to generalise Ball surfaces from boundary curves using elliptic PDEs. …”
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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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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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5
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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6
Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Two of the most frequently applied algorithms to model species-habitat relationships are Generalised Linear Models (GLM) and Random Forest (RF). …”
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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
Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques
Published 1999“…A generalised variable order variable stepsize Direct Integration (01) method, a generalised Backward Differentiation method (BDF) and shooting techniques are used to solve the given BVP. …”
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9
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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10
Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network
Published 2011“…Nowadays, about 80% of interruptions are caused by faults in distribution networks and the application of fault location algorithms developed for transmission system is not an easy task due to the topology and operating principles of the distribution networks. …”
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11
Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach
Published 2012“…This paper presents a bottleneck-based methodology to solve scheduling problem of M1,M2,M3,M4,M3,M4 re-entrant flow shop where M1 and M4 have high tendency of being the dominant machines. Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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Adaptive artificial neural network for power system security assessment and control action
Published 2012“…This is particularly important for giving a possible control action to mitigate an insecure situation during disturbance using AANN. This technique is used to improve the performance and to develop a software tool which is integrated with PSS™E software for contingency analysis. …”
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13
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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14
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Explicit solution of parameter estimate using multiparametric programming for boost converter
Published 2023“…This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. …”
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Transtheoretical model of change for weight control in Malaysian context
Published 2010“…Empirical support of the effectiveness of weight control using Transtheoretical Model of Change (TIM) as the framework have been demonstrated by some studies and clinical practice for weight control in developed countries. …”
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17
Breast cancer disease classification using fuzzy-ID3 algorithm based on association function
Published 2022“…The FID3-AF algorithm is a hybridisation of the fuzzy system, the iterative dichotomizer 3 (ID3) algorithm, and the association function. …”
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Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
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19
New Sequential and Parallel Division Free Methods for Determinant of Matrices
Published 2013“…In conclusion, the newly developed methods can be used as viable alternatives for finding determinants of matrices.…”
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20
Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…A Distributed Learning Classifier System (DLCS) consisting of five Learning Classifier Systems (LCS) with hierarchical architecture of three levels is used. An enhanced Bucket Brigade Algorithm (BBA) is developed to avoid the problem of choosing classifiers with high strength value but with incorrect behaviour. …”
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