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Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB
Published 2010“…In recent years, many of these BMAs have been developed with similar intention of reducing the computational costs while at the same time maintaining the video signal quality. In this paper, an algorithm called Hexagon-Diamond Search (HDS) is proposed for ME where the algorithm and several fast BMAs, namely Three Step Search (TSS), New Three Step Search (NTSS), Four Step Search (4SS) as well as Diamond Search (DS), are first selected to be implemented onto various type of standard test video sequence using MATLAB before their performances are compared and analyzed in terms of peak signal-to-noise ratio (PSNR), number of search points needed as well as their computational complexity. …”
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Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010“…In recent years, many of these BMAs have been developed with similar intention of reducing the computational costs while at the same time maintaining the video signal quality. In this paper, an algorithm called Hexagon-Diamond Search (HDS) is proposed for ME where the algorithm and several fast BMAs, namely Three Step Search (TSS), New Three Step Search (NTSS), Four Step Search (4SS) as well as Diamond Search (DS), are first selected to be implemented onto various type of standard test video sequence using MATLAB before their performances are compared and analyzed in terms of peak signal-to-noise ratio (PSNR), number of search points needed as well as their computational complexity. …”
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…This paper aims to compare the performance of two metaheuristic algorithms which are Jaya Algorithm (JA) and Cuckoo Search (CS) using some common benchmark functions. …”
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An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…Simulation results demonstrate that DS algorithm has speed up other algorithm’s computational work up to 47.8% on average though at the same time gives poorer performance in terms of average PSNR to others. …”
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Performance analysis of block matching algorithms in motion estimation
Published 2010“…Simulation results demonstrate that DS algorithm has speed up other algorithm’s computational work up to 48% on average while at the same time gives close performance in terms of average PSNR to others. …”
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Analysis of Dijkstra’s and A* algorithm to find the shortest path
Published 2015“…The experimental result showed the search time of A* algorithm is faster than Dijkstra’s algorithm with average value 466ms and the distance is same of the both of algorithms.…”
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Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim
Published 2002“…Stemming algorithms are language dependent. They have proven to be successful in reducing words with the same stem to a common form and are evidenced by the work of many researchers. …”
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Adapting And Hybridising Harmony Search With Metaheuristic Components For University Course Timetabling
Published 2010“…The major thrust of this algorithm lies in its ability to integrate the key components of populationbased methods and local search-based methods in the same optimisation model. …”
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Hybridizing harmony search with local search based metaheuristic for solving curriculum based university course timetabling / Juliana Wahid
Published 2017“…Harmony search algorithm (HSA) is a population-based metaheuristic optimization algorithm that imitates the music improvisation process where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. …”
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An empirical study of double-bridge search move on subset feature selection search of bees algorithm
Published 2017“…The algorithm performs combination of exploitative neighbourhoods and random explorative search. …”
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Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar
Published 2001“…Stemming algorithms are language dependent. They have proven to be successful to reduce words with the same stem to a common form and are evidenced by the work many researchers. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…The natural evolution optimization algorithm which is genetic algorithm can be improve by combining the nature meta-heuristic algorithms which is bald eagle search to improve the makespan of genetic algorithm using cloudsim that need to be implement on the eclipse platform. …”
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Cuckoo Search Approach for Cutting Stock Problem
Published 2015“…Cuckoo Search Algorithm is selected because it is a new algorithm and outperforms many algorithms. …”
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MLGSA: Multi-Leader Gravitational Search Algorithm for MultiObjective Optimization Problem
Published 2017“…Better convergence and diversity have been observed over the conventional Multi-Objective Particle Swarm Optimization. In this paper, the same concept is extended to Gravitational Search Algorithm (GSA). …”
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A Hybrid Least Squares Support Vector Machine with Bat and Cuckoo Search Algorithms for Time Series Forecasting
Published 2020“…Hence, to enhance the search ability of Cuckoo Search, it is integrated with Bat algorithm that offers a balanced search between global and local. …”
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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…This thesis aims to solve these problems using an efficient metaheuristic algorithm, known as the Harmony Search (HS) algorithm. …”
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19
Revisit of statistical selection algorithm for peer-to-peer system
Published 2008“…Over the years, the distributed computing environment has been developed so fast that there’s a need to develop an effective selection algorithm for it. Loo [9] has proposed a statistical selection algorithm with the same objective and run in the multicast / broadcast environment that has been proved that it is the best among others algorithm in the same platform in terms of the number of messages and the number of rounds needed to complete the searching process. …”
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A new algorithm to measure relevance among Web pages
Published 2006“…To evaluate the performance, the algorithm is compared with existing algorithms. Experimental results show that RWP outperforms existing algorithms to find relevant Web pages. …”
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