Search Results - (( changes extraction method algorithm ) OR ( java application towards algorithm ))
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A block-based multi-scale background extraction algorithm
Published 2010“…Approach: In this study, to extract an adaptive background, a combination of blocking and multi-scale methods is presented. …”
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A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
Published 2008“…The liver level set (LLS) is separated into two stages which a pre-processing stage and a level set with a hybrid energy minimization algorithm. The current slice is initialized by previous segmented liver boundary allowing changes in liver boundary topological changes to be inherited. …”
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Automatic Road Network Recognition and Extraction for Urban Planning
Published 2009“…The extracted road regions are validated by using a segmentation method. …”
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Network game (Literati) / Chung Mei Kuen
Published 2003“…This thesis steps towards developing a networked game, Literati game system that supporting two players at one time. …”
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Thesis -
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Crow Search Freeman Chain Code (CS-FCC) feature extraction algorithm for handwritten character recognition
Published 2023“…In this research, a Crow Search Algorithm (CSA)-based metaheuristic strategy for feature extraction in HCR was developed. …”
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Automated time series forecasting
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Monograph -
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments
Published 2018“…The performance of the proposed algorithm is compared to that of several state-of-the-art TVS algorithms. …”
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Thesis -
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Performance analysis of PSO MPPT for photovoltaic (PV) system during irradiance changes / Kharismi Burhanudin
Published 2018“…The study focus on extracting maximum power from the PV panel based on the change in solar irradiance absorbed by the PV panel. …”
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Thermal Image Analysis of Holistic based Treatment
Published 2017“…Seed-point region growing method is useful for extracting informations from thermal images analysis. …”
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Final Year Project -
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A novel theoretical and practical methodology for extracting the parameters of the single and double diode Photovoltaic models
Published 2022“…However, there is no method to date that can guarantee the extracted parameter of the PV model is the most accurate one. …”
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Spatiotemporal extraction of aquaculture ponds under complex surface conditions based on deep learning and remote sensing indices
Published 2025“…The values of the three index methods are obtained from 1000 grid points extracted with an overlaid map with three layers. …”
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River segmentation using satellite image contextual information and Bayesian classifier
Published 2016“…This paper presents a new method of extracting rivers by using training samples based on the mathematical morphology, Bayesian classifier and a dynamic alteration filter. …”
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Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid
Published 2008“…As a contribution, this method not only potential to restore the embedded data accurately, but also changes the least pixels in the host image.…”
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Thesis -
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Aco-based feature selection algorithm for classification
Published 2022“…The classification of this type of dataset requires Feature Selection (FS) methods for the extraction of useful information. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Extraction and reconstruction of retinal vasculature
Published 2007“…The technique incorporates both gradient magnitude change and average intensity as the homogeneity criteria that enable the process to adapt to intensity changes and intensity spread over the vasculature region. …”
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi
Published 2015“…The proposed algorithm starts by extracting local image features, which are known as keypoints, using SIFT, followed by searching for similar keypoints by clustering extracted descriptors from the image. …”
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