Search Results - (( java application using algorithm ) OR ( gene detection method algorithm ))
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Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff
Published 2016“…Image processing techniques were employed to segment and extract the optic cup and optic disc for glaucoma detection purpose. This study performed using a new bio-inspired algorithm; Selfish Gene Algorithm (SFGA) for optic cup and optic disc segmentation. …”
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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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The importance of data classification using machine learning methods in microarray data
Published 2021“…The detection of genetic mutations has attracted global attention. several methods have proposed to detect diseases such as cancers and tumours. …”
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Provider independent cryptographic tools
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Gene Selection For Cancer Classification Based On Xgboost Classifier
Published 2022“…Gene selection is the technique that applied to the gene selection dataset, such as DNA microarray, which is develop to reduce the less informative gene, so that the selected gene is related to the disease diagnosis. …”
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Undergraduates Project Papers -
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…In addition, the local optima issue is overcome by the population reinitialisation method. The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
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A study on component-based technology for development of complex bioinformatics software
Published 2004“…Othman proposed a clustering algorithm named BTreeBicluster. The BTreeBicluster starts with the development of GO tree and enriching it with expression similarity from the Sacchromyces genes. …”
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Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Direct approach for mining association rules from structured XML data
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Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
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Final Year Project / Dissertation / Thesis -
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Gene Selection for Cancer Classification Based on XGBoost
Published 2025“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient boosted trees algorithm. …”
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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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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Final Year Project / Dissertation / Thesis -
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An extreme gradient boosting for cancer feature extraction and classification
Published 2025“…This research focuses on improving gene selection for cancer classification using the XGBoost classifier, an efficient open-source implementation of the gradient-boosted trees algorithm. …”
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Route Optimization System
Published 2005“…The method used to develop this project is Rapid Application Development (RAD). …”
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Final Year Project -
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Identification of alzheimer diseaseassociated pathways and network using transcriptome analysis / Lau Ching Yee
Published 2018“…Since complex diseases like AD can be better understood from the perspective of network biology than at the individual gene level, we used NetDecoder, a state-of-the-art network-based transcriptomic analysis algorithm to capture genes that are associated with the differentially expressed genes in a network context. …”
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