Search Results - (( java implementation learning algorithm ) OR ( causing problems _ algorithm ))
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1
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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2
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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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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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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5
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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6
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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7
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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A refined differential evolution algorithm for improving the performance of optimization process
Published 2011“…Various Artificial Intelligent (AI) algorithms can be applied in solving optimization problems. …”
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Automatic clustering of gene ontology by genetic algorithm
Published 2006“…However, the increase in size of the Gene Ontology has caused problems in maintaining and processing them. …”
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Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling
Published 2009“…In heuristic approaches getting stuck in local optimum is one of the propounded problems from early days. The main cause for the local optimal problem is that heuristic algorithms either focus on exploration (global improvement) rather than exploitation (local improvement) or vice versa.…”
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An improved simulated annealing algorithm to avoid crosstalk in optical omega network
Published 2006“…When Simulated Annealing (SA) algorithm was used to solve the problem, it gave good results. …”
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14
A novel layer by layer energy efficient watchman algorithm for wireless sensor and actor networks
Published 2021“…Energy consumption, end-to-end delay, and throughput are considered for the evaluation of the proposed algorithm. At the end, the proposed algorithm is compared with an existing state-of-the-art algorithm like the Efficient Traffic Load Reduction Algorithm (ETLRA) that also works with limbs node for the said problem in the same kind of wireless environment. …”
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. …”
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16
Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
Published 2017“…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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17
Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
Published 2017“…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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18
Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms
Published 2015“…Resource-Constrained Project Scheduling Problem (RCPSP) is considered as an important project scheduling problem. …”
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Leader election algorithm in 2D torus networks with the presence of one link failure
Published 2010“…Leader election algorithms solve the instability problem in the network which is caused by leader failure. …”
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Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network
Published 2005“…Under the constraint of avoiding crosstalk, the research interest is to realize a permutation that will use the minimum number of passes (to route the input request to output without crosstalk). This routing problem is an NP-hard problem. Many heuristic algorithms have been proposed and designed to perform the routing such as the sequential algorithm, the sequential down algorithm, the degree-ascending algorithm, the degree-descending algorithm, the Simulated Annealing algorithm and the Ant Colony algorithm. …”
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