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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…In this paper, we proposed a new method to detect the vegetation using satellite stereo imagery. The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2023Conference Paper -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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A novel state space reduction algorithm for team formation in social networks
Published 2021“…Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF’s. …”
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Regression test case selection & prioritization using dependence graph and genetic algorithm
Published 2014“…The challenge in regression testing is the selection of best test cases from the existing test suite.This paper presents an evolutionary regression test case prioritization for object-oriented software based on extended system dependence graph model of the affected program using genetic algorithm. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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A regression test case selection and prioritization for object-oriented programs using dependency graph and genetic algorithm
Published 2014“…This paper presents an evolutionary regression test case prioritization for object-oriented software based on dependence graph model analysis of the affected program using Genetic Algorithm. …”
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Design of DNA fragment assembly using IWP method on application-specific integrated-circuit / Hasniliati Hassan
Published 2017“…After reviewing various algorithms, it was decided to apply de Bruijn graphs and Eulerian circuits that are based on graph theory. …”
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Laser simulator: a novel search graph-based path planning approach
Published 2018“…A novel technique called laser simulator approach for visibility search graph-based path planning has been developed in this article to determine the optimum collision-free path in unknown environment. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Optimised crossover genetic algorithm for capacitated vehicle routing problem
Published 2012“…The proposed algorithm uses an optimised crossover operator designed by a complete undirected bipartite graph to find an optimal set of delivery routes satisfying the requirements and giving minimal total cost. …”
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Improvement Of Local-Based Stereo Vision Disparity Map Estimation Algorithm
Published 2017“…Firstly, the proposed SVDM algorithm combines three matching cost features based on per pixel differences. …”
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Thesis -
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GNN-based skyline query processing for large-scale and incomplete graphs
Published 2026“…However, traditional skyline algorithms struggle with large volumes and missing data, leading to high computational costs and inefficiencies. …”
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