Search Results - (( developing coding clustering algorithm ) OR ( java application model algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
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Thesis -
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Provider independent cryptographic tools
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Monograph -
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…The clustering algorithms are written using Python language by modifying the coding obtained from the Internet. …”
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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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Conference or Workshop Item -
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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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Development and characterization of anonymous nuclear markers to determine genetic variation in two groupers species and their hybrids
Published 2015“…This study set forth to overcome this limitation by developing the second generation of non-coding non informative anonymous nuclear markers (ncni-ANM) for subsequent genetic characterization of Fl grouper hybrids. …”
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Thesis -
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Direct approach for mining association rules from structured XML data
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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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Neural network-based codebook search for image compression
Published 2000“…Since the candidate set is usually much smaller that the whole code book, there is a substantial saving in codebook search time for coding an image as compared to the traditional method using full codebook search by LBG algorithm.…”
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Conference or Workshop Item -
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Secure Image Steganography Using Encryption Algorithm
Published 2016“…The objective of this study is to enhance the confidentiality and security of the image steganography application by combining cryptography algorithm. In this proposed model, the RSA algorithm is used to encrypt a secret message into an unreadable ciphertext before hiding it in the image. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…This thesis describes original research in the field of software quality model by presenting a Feature Ranking Algorithm (FRA) for Pragmatic Quality Factor (PQF) model. …”
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Thesis -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Subjects:Conference paper -
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Network game (Literati) / Chung Mei Kuen
Published 2003“…Therefore, efficient and robust servers that process separate client connections in separate threads are needed. Java applet is a well-known and widely used example of mobile code (a variation on the traditional client-server model). …”
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Thesis -
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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Thesis -
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Automated time series forecasting
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Monograph -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The applications of the Internet of Things in different areas and the resources that demand these applications are on the increase. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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