Search Results - (( java implementation learning algorithm ) OR ( using factor valued 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
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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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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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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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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Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi
Published 2019“…However, both Signal to Noise Ratio (SNR) and Switching Activity (SA) values depend on the word length of the FFT processor, the bigger the word length of the FFT processor will result in a higher value for the SNR and the SA, Thus, this research aims to reduce the power consumption of the FFT processor by lowering the word length of Twiddle Factor for the FFT by using both Single Objective Genetic Algorithm (SOGA) and Multi-Objective Genetic Algorithm (MOGA) to find the optimum results for SNR and SA values while lowering the Word Length. …”
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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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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
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11
The effect of dose calculation algorithms on the normal tissue complication probability values of thoracic cancer
Published 2015“…Four treatment plans are created and DVHs are evaluated based on criteria of acceptance level. NTCP values for thorax plan one and two are evaluated by using different algorithm. …”
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Determination of a good indicator for estimated prime factor and its modification in Fermat’s Factoring Algorithm
Published 2021“…Fermat’s Factoring Algorithm (FFA) is an integer factorisation methods factoring the modulus N using exhaustive search. …”
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Optimization of chest X-ray exposure factors using machine learning algorithm
Published 2023“…In this study, the chest X-ray exposure factors for 178 patients with different body mass index (BMI) values have been analyzed using the Python Machine Learning algorithm. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…Accordingly, a Novel Density-Aware Routing algorithm (NDAR) is proposed. The proposed algorithm totally eliminates the need for fixed threshold values through the use of a novel formula that can easily estimate the node density and replace the fixed threshold value based on the neighbor information. …”
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15
The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]
Published 2022“…The statistical analysis employed regression models such as p-value, r, R2, and RMSE for both algorithms' performance evaluations. …”
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Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…These algorithms were developed by using prewar shophouses dataset from 2004 until 2018 based on factors of heritage properties. …”
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Cluster identification and separation in the growing self-organizing map: Application in protein sequence classification
Published 2010“…By using Davies-Bouldin index, clusters formed by different values of spread factor are obtained and the resulting clusters are analyzed. …”
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A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm
Published 2013“…The main objective in camera auto calibration is to find intrinsic parameters values that minimize the cost function. This paper attempts to implement a stochastic optimization algorithm called Bat Algorithm in order to find optimal values of the intrinsic parameters. …”
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Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes
Published 2013“…This paper describes the implementation of an algorithm that can be used to predict solar energy potential of irregular landscapes. …”
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Credit scoring for Cooperative of financial services using logistic regression estimated by genetic algorithm
Published 2014“…To anticipate the risk of default (credit risk), to prospective debtors applying for credit risk analysis was performed using credit scoring. In this paper the analysis of credit scoring is done using logistic regression model, which is estimated using genetic algorithms. …”
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