Search Results - (( java implementation learning algorithm ) OR ( using file using 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
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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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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4
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
A Comparative Study on Compression of Different Image File Formats
Published 1999“…Some of the experiment was done twice with two different types of images to ensure that the results were accurate. The Algorithms used to compress and decompress the image ware Run Length Encoding (RLE) algorithm and Lampel-ziv and Welch (LZW) algorithm. …”
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7
Keyword indexing for text documents using signature files / Abdul Hakim A. Gafa
Published 2008“…The main of this project is to compare the effectiveness of searching Text documents between using Signature files algorithm and Inverted files algorithm. …”
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8
Confidentiality based file attributes and data classification using TsF-KNN
Published 2015“…The main objective of this study is to predict the confidential and non-confidential data of a file using K-NN algorithm. We also proposed a method called Training dataset Filtration Key Nearest Neighbour (TsF-KNN) classifier which classifies the data of file based on the confidentiality level of the schema of a file (file attributes). …”
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Data privacy comparison using advanced encryption standard (AES) and data encryption standard (DES) / Hikma Farah Ali
Published 2019“…The file is encrypted and using this key to decrypt it. …”
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10
Classification of JPEG files by using extreme learning machine
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Data depublication using : Hashing algorithm / Naimah Nayan
Published 2019“…The simulation was conducted using File Alyzer, Clone Files Checker and AllDup software. …”
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12
Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…After that we use to build securing cloud data system (SCDS) for key exposure using the AES algorithm for encrypting and decrypting our website cloud data and files. …”
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13
Automatic generation of user-defined test algorithm description file for memory BIST implementation
Published 2022“…It can be used by implementing a standard testing algorithm available in the EDA tool library or a user-defined algorithm (UDA). …”
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Relationship based replication algorithm for data grid
Published 2014“…Data Grid is an infrastructure that manages huge amount of data files and provides intensive computational resources across geographically distributed systems.To increase resource availability and to ease resource sharing in such environment, there is a need for replication services.This research proposes a replication algorithm, termed as Relationship based Replication (RBR) that integrates users, grid and system perspective.In particular, the RBR includes information of three different relationships in identifying file(s) that requires replication; file-to-user, file-to-file and file-to-grid. …”
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15
Enhanced Storage Mechanism for Secured Parallel Network File System
Published 2018“…The proposed techniques resulted synchronous LEASE file locking, capturing of state of locks and layouts, Kerberos secured the pNFS locks and layouts on storage, new algorithm enabled the scalable data compression using data block size compression algorithm and better dynamic data protection using RAID.…”
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16
Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems
Published 2017“…The problem of rsync algorithm synchronization process is that rsync tries to check folders and files one by one, which takes long time to synchronize them. …”
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17
E-Raser: file shredder application with content replacement by using random words function
Published 2018“…Thus, this study proposed a file shredding application named E-Raser which replacing the content of the file using random words function algorithm. …”
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Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian
Published 2019“…This study uses machine learning method to detect anomalies in system log files. …”
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19
A log file analysis technique using binary-based approach
Published 2014“…In this research paper, a binary-based approach for mining frequency of data items in database transaction log files is introduced. Both the data structures and the algorithms used will be presented according to the sequence of the methodology stages carried out in this research work. …”
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20
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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