Search Results - (( java application testing algorithm ) OR ( framework segmentation means algorithm ))
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Blood cell image segmentation using unsupervised clustering techniques
Published 2009“…We use blood cell images infected with malaria parasites as cell images for our framework. Methods that involved in this comparison framework are Fuzzy C Means, K Means and Means Shift Analysis. …”
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Conference or Workshop Item -
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Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring
Published 2016“…The proposed segmentation evaluated on real-world clinical data from patients is based on a hybrid method integrating cuckoo optimization and fuzzy c-means algorithm with random walkers algorithm. …”
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Article -
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An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…This paper demonstrates Particle Swarm Optimization (PSO)- incorporated AlexNet framework for the skin segmentation task. The results from testing the trained model are promising. …”
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Article -
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…Most of the existing algorithms consider the noise filtering step precedes trajectory segmentation step which mean that there is no preprocessing method to partition trajectory into set of segments and remove noise points in real time with low computational cost. …”
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Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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Thesis -
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Embedded car plate image recognition system
Published 2008“…Usually, a general framework is: Pre-processing, Bounding, Character Segmentation, and Character Recognition. …”
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Learning Object -
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Colour-Texture Fusion In Image Segmentation For Content-Based Image Retrieval Systems
Published 2007“…In this research, a novel image segmentation framework, dedicated to region queries in CBIR, is presented. …”
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Thesis -
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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Thesis -
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. …”
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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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Undergraduates Project Papers -
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Computed tomography and echocardiography image fusion technique for cardiac images
Published 2016“…It means fusion results in enhanced image quality consequently leads to effective ventricles segmentation. …”
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Thesis -
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A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties
Published 2024“…This study proposes a new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping (MVMO-SH) optimisation for planning Photovoltaic Distributed Generation (PVDG) in the urban Radial Distribution Network (RDN). …”
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Article -
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
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Thesis -
17
Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad
Published 2016“…To achieve this aim, this study proposed a novel framework which extracts the mobile device intrinsic fingerprints from near-silent segments by using two spectral analysis approaches: (a) for linearized modeling, the proposed framework uses the cepstrum estimation technique and extracts entropy of Mel-frequency cepstral coefficients (MFCCs), (b) for non-linear modeling, the framework employs higher-order spectral analysis (HOSA) and utilizes the Zernike moments (ZMs) of the bicoherence magnitude and phase spectrum. …”
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Thesis -
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A hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset
Published 2014“…The comparative analysis results show that the proposed method performs efficiently in all datasets with overall performance of 95% and the root mean square distances (RMSD) measure in terms of mean ± SD was found to be 2.21 ± 0.35 mm for RV endocardial contours.…”
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