Search Results - (( dynamic segmentation method algorithm ) OR ( java implementation learning algorithm ))
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How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm?
Published 2025“…This study investigates the impact of image complexity on the accuracy of interactive image segmentation algorithms. Image complexity plays a crucial role in segmentation performance, yet previous studies have primarily relied on subjective methods, leaving a gap in understanding how objective measures impact accuracy. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Fuzzy clustering algorithms, which fall under unsupervised machine learning, are among the most successful methods for image segmentation. …”
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4
Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background
Published 2018“…Quantitative measurement was performed for evaluating hand gesture segmentation algorithm. Besides, qualitative measurement was done to conduct a comparison based on segmentation accuracy with previous studies. …”
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Modified Contrast Limited Adaptive Histogram Equalization for high dynamic range images
Published 2012“…The image was then segmented into smaller parts using pixel-region-based image segmentation method. …”
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Novel techniques for enhancement and segmentation of acne vulgaris lesions
Published 2013“…Methods: For the first objective, an algorithm is developed based on the theory of high dynamic range (HDR) images. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Based on previous researches, most existing segmentation methods focused on a specific environment. …”
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River segmentation using satellite image contextual information and Bayesian classifier
Published 2016“…River extraction from remote sensing images is useful for the comprehensive study of dynamic changes of rivers over large areas. 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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Application of sampling-based motion planning algorithms in autonomous vehicle navigation
Published 2016“…Furthermore, a novel segmentation method is proposed, which divides the sampling domain into valid and tabu segments. …”
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Book Section -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Conference or Workshop Item -
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Integrated face detection approach for far image application
Published 2016“…The proposed approach consists of an Illumination compensation method, a Skin segmentation method, a Noise reduction method and Euler method. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
Published 2022“…In the field of computer vision and image processing, we perform several activities in the segmentation stage, such as image segmentation and dynamic context video segmentation. …”
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Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…Moreover, complex object boundaries, particularly in scenes with occlusions, shadows, or intricate shapes, pose significant challenges for traditional segmentation methods. These methods often struggle to accurately delineate the intricate contours and regions of interest, leading to under-segmentation or over-segmentation errors. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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18
Dynamic Economic Dispatch For Power System
Published 2016“…The work mathematically proves the dynamicity of the economic dispatch. Many physical and operational constraints were considered in the model of the dynamic economic dispatch problem. …”
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Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Metabolic Network Model
Published 2018“…However, this paper focuses on adopting segment particle swarm optimization (PSO) and PSO algorithms for large-scale kinetic parameters identification. …”
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Hybrid Balance Artificial Potential Field Navigation System For An Autonomous Surface Vessel In Riverine Environment
Published 2019“…Static and dynamic obstacles in the river are used to verify the proposed balance-APF method. …”
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