Search Results - (( java implementation using algorithm ) OR ( missing learning models algorithm ))
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New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…So, the application of the theory as part of the learning models was proposed in this thesis. Two different models for learning in data sets were proposed based on two different reduction algorithms. …”
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Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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ExtraImpute: a novel machine learning method for missing data imputation
Published 2022“…In this paper, we propose a new imputation approach using Extremely Randomized Trees (Extra Trees) of machine learning ensemble learning methods named (ExtraImpute) to tackle numerical missing values in healthcare context. …”
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Article -
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Provider independent cryptographic tools
Published 2003“…The library is implemented by using Java cryptographic service provider framework that conforms to Java Cryptographic Architecture (JCA) and Java Cryptographic Extension (JCE). …”
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Monograph -
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
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A novel approach for handling missing data to enhance network intrusion detection system
Published 2025“…Managing missing data is a critical challenge in Intrusion Detection System (IDS) datasets, significantly affecting the performance of deep learning models. …”
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Article -
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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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Thesis -
8
Tangible interaction learning model to enhance learning activity processes among children with dyslexia
Published 2024“…However, certain domains present unique challenges due to the involvement of attributes from multiple scientific disciplines, such as biology, chemistry, and medical which complicates the imputation process. Current machine learning models struggle to handle both missing values and inaccuracies simultaneously, particularly when dealing with large datasets. …”
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9
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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Conference or Workshop Item -
10
Imputation Analysis of Time-Series Data Using a Random Forest Algorithm
Published 2024“…Missing data poses a significant challenge in extensive datasets, particularly those containing time-series information, leading to potential inaccuracies in data analysis and machine learning model development. …”
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11
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…Java Media Framework library and the RTP protocol for audio transmission were used as development tools.The developed system designed in this thesis together with experimental results proved that the system could be implemented successfully. …”
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Thesis -
15
An Apriori-based Data Analysis on Suspicious Network Event Recognition
Published 2019“…The advantage of our rule-based model is that the obtained rules are very easy to understand in comparison with other 'black-box' machine learning models. …”
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Intelligent imputation method for mix data-type missing values to improve data quality
Published 2024“…However, certain domains present unique challenges due to the involvement of attributes from multiple scientific disciplines, such as biology, chemistry, and medical which complicates the imputation process. Current machine learning models struggle to handle both missing values and inaccuracies simultaneously, particularly when dealing with large datasets. …”
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Thesis -
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Café Web Based System Using Priority Scheduling Approach
Published 2017“…The system is implemented at UniSZA’s café where two different types of user will use the system. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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Final Year Project -
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Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network
Published 2006“…The back propagation algorithm was adopted for this study. The optimal model for predicting missing data found in this study is the network with the combination of learning rate and the number of neurons in the hidden layer of 0.2 and 60. …”
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Final Year Project Report / IMRAD -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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