Search Results - (( developing modul extraction 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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Thesis -
2
Module integrated MPPT converter for photovoltaic / Muhammad Nur Al Hafiz Mohamad Husaini
Published 2020“…To apply perturb and observe algorithm of MPPT using MATLAB/Simulink. Develop the module integrated MPPT. …”
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Student Project -
3
Handwriting recognition using webcam for data entry
Published 2014“…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. …”
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4
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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5
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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6
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
Handwriting recognition using webcam for data entry
Published 2015“…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. …”
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8
Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…The objective of this research was to develop and analyse feature extraction used for classification techniques for defect detection of solar photovoltaic modules surfaces. …”
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9
Biceps brachii surface EMG classification using neural networks
Published 2012“…The first part is about the development of an EMG acquisition platform. This platform consists of three modules; acquisition module, preprocessing module and feature extraction module. …”
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10
Parameter extraction of solar photovoltaic modules using penalty-based differential evolution
Published 2012“…This paper proposes a penalty based differential evolution (P-DE) for extracting the parameters of solar photovoltaic (PV) modules at different environmental conditions. …”
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Article -
11
An improved maximum power point tracking controller for PV systems using artificial neural network; [Ulepszona metoda ?ledzenia maksymalnej mocy systemu fotowoltaicznego z wykorzys...
Published 2023“…MATLAB models for a neural network, PV module, and the classical P&O algorithm are developed. …”
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12
Protovoltaic boost DC/DC converter with adaptive perturb and observe-fuzzy maximum power point tracking algorithm
Published 2013“…Therefore, this research work proposes design and development of photovoltaic boost dc-dc converter with adaptive perturb and observe-fuzzy maximum power point tracking algorithm, which is capable to extract energy at maximum operating level of photovoltaic module. …”
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13
Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
14
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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15
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2013“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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16
Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. …”
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Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves
Published 2024“…Meanwhile, an innovative parameter optimization algorithm based on particle swarm optimization is developed to extract the parameters. …”
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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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19
Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…It is also designed for high performance and it exhibits a run-time complexity for an INSERT (or EXTRACT) queue operation that is constant. In order to utilize the high performance hardware priority queue module, modifications have to be made on the graph-based shortest path algorithm. …”
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20
Agent-based extraction algorithm for computational problem solving
Published 2015“…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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