Search Results - (( based construction graph algorithm ) OR ( java implication based algorithm ))
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Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences
Published 2024journal::journal article -
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Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…In this article, the researchers design an algorithm and apply it to a computer program (Python) to solve graph coloring and to visualize the variation of exam scheduling modeling at Binus University in graphs based on the Bitwise Graph Coloring Algorithm. …”
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Frequent itemset mining using graph theory / Mohammad Arsyad Mohd Yakop
Published 2017“…The Directed Acyclic Graph in High Dimensional Dataset Mining (DAGHDDM) is a graph-based mining algorithm that represents itemsets in complete graph before FIM takes place. …”
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Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph / Mohd Shafiq Mohd Helmi
Published 2012“…Hybridization uses the array identifying algorithm to identify the sequence. The algorithm used to construct the module is Bruijn Graph. …”
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Design and analysis of DNA fragment assembly's converter and checker modules using De Bruijin Graph : article / Mohd Shafiq Mohd Helmi
Published 2012“…Hybridization uses the array identifying algorithm to identify the sequence. The algorithm used to construct the module is Bruijn Graph. …”
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Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
Published 2016“…The construction of population of initial solution is a crucial task in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it can affect the convergence speed and also the quality of the final solution.This paper presents an exploration on combination of graph heuristics in construction approach in curriculum based course timetabling problem to produce a population of initial solutions.The graph heuristics were set as single and combination of two heuristics.In addition, several ways of assigning courses into room and timeslot are implemented.All settings of heuristics are then tested on the same curriculum based course timetabling problem instances and are compared with each other in terms of number of population produced.The result shows that combination of largest degree followed by saturation degree heuristic produce the highest number of population of initial solutions.The results from this study can be used in the improvement phase of algorithm that uses population of initial solutions…”
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Butterfly Triple System Algorithm Based on Graph Theory
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Image matching using relational graph representation
Published 2005“…Various image matching techniques using image features have been known in literature. Feature-based matching algorithm cannot tackle the problem of matching ambiguities easily. …”
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Enhanced Community Detection Based On Cross Time For Higher Visibility In Supply Chain: A Six-Steps Model Framework
Published 2019“…This paper proposed six steps model framework that aim: (1) To construct the nodes and vertices for temporal graph representing the relationship in supply chain network; (2) To propose an enhanced temporal community detection algorithm in graph analytics based on Cross-time approach and (3) To evaluate the enhanced temporal community detection algorithm in graph analytics for representing relationship in supply chain network based on external and internal quality analysis. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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Constructing population of initial solutions for curriculum – based course timetabling problem
Published 2012“…Future work will use the best settings of heuristics to the improvement phase in population-based improvement algorithm.…”
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Unapparent information revelation for counterterrorism: Visualizing associations using a hybrid graph-based approach
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid job scheduling. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The resource allocation problem is modelled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element. …”
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Aco-based feature selection algorithm for classification
Published 2022“…An enhanced graph clustering ant colony optimisation (EGCACO) algorithm is proposed to solve the three (3) MGCACO algorithm problems. …”
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Design and statistical analysis of initial solution construction approach in curriculum based course timetabling problem
Published 2017“…This paper investigates the construction phase approach in which the sequential order of the courses/lectures applied several combination of graph heuristics to generate a population of initial solutions in curriculum-based course timetabling (CBCTT).The construction of population of initial solution is a prerequisite in a population-based metaheuristic implementation. …”
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Static and dynamic graphs modeling of a boiler system / Noor Ainy Harish
Published 2015“…However, the graph of FSSM is found to be a static graph where not much analysis of the graph could explain the model of FSSM of a boiler. …”
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
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