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Segmentation Assisted Object Distinction For Direct Volume Rendering
Published 2013“…A local rendering process adds two advantageous aspects to global rendering module. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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Final Year Project -
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Provider independent cryptographic tools
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A De-noising Scheme for Wavelet Based Power Quality Disturbances Detection and Classification system
Published 2011“…A Power quality Classification system can easily extract features from the second detail signal obtained after Discrete Wavelet Transform and using these features to construct a Rule Based Algorithm for identifying types of disturbances that exist in the captured power signal. …”
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A De-noising Scheme for Enhancing Power Quality Problem Classification System Based on Wavelet Transform and Rule-Based Method
Published 2011“…A Power quality Classification system can easily extract features from the second detail signal obtained after Discrete Wavelet Transform and using these features to construct a Rule Based Algorithm for identifying types of disturbances that exist in the captured power signal. …”
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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Detecting Malware with Classification Machine Learning Techniques
Published 2023“…The following research report focuses on the implementation of classification machine learning methods for detecting malware. …”
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Direct approach for mining association rules from structured XML data
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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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Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
Published 2024“…These advancements contributed to the efficiency of the model in convergence, rendering it applicable to a wide range of nonlinear classification and prediction problems.…”
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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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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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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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Route Optimization System
Published 2005“…This algorithm is an exact algorithm that is specifically for finding the shortest route in a network. …”
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POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD
Published 2012“…Unfortunately, the signal under investigation is often polluted by noises, rendering the extraction of features a difficult task. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…In this type of environment it is nearly impossible to prove the effectiveness of a scheduling algorithm. Hence the main objective of this study is to develop a desktop grid simulator toolkit for measuring and modeling scheduler algorithm performance. …”
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Final Year Project -
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Modified symbiotic organisms search optimization for automatic construction of convolutional neural network architectures
Published 2024“…The algorithm’s distinctive feature lies in its ability to perform non-numeric computations, rendering it adaptable to intricate deep learning problems. …”
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