Search Results - (( java implementation learning algorithm ) OR ( based aggregation path algorithm ))
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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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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
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An adaptive data gathering algorithm for minimum travel route planning in WSNs based on rendezvous points
Published 2019“…The algorithm is designed to consider the ME’s tour length and the shortest path tree (SPT) jointly. …”
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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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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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Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step
Published 2018“…To get over these problems,sum of gradient magnitude differences has been introduced at the first stage.This method is strong against the radio-metric differences on the stereo images.Hence,this approach will reduce the error of preliminary data for stereo corresponding process.The SGM is used at the aggregation,and optimisation stage uses 16 different directions of 2D path.Additionally,the iterative guided filter is utilised at the refinement stage which minimises the errors and increases the accuracy.The proposed work produces accurate results and performs much better compared with some established algorithms based on the standard stereo benchmarking evaluation from the Middlebury and KITTI.…”
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Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution
Published 2017“…Approach: The approach has been presented based on two phases: firstly, the algorithms have been adapted to solve the research problem, where its procedure is different than the common algorithm. …”
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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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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…Therefore, controller is used for navigation before and after approaching obstacles. Path planning algorithm in this project provides the best path to avoid the obstacle and create temporary new waypoints within split seconds. …”
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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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Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device
Published 2021“…This research will investigate the application of the Symbolic Aggregate Approximation (SAX) algorithm on top of known supervised machine learning techniques to perform EEG signal classification. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Performance results show that the MADE algorithm based on lead-acid battery has a high level of LLP and minimum cost among other types of storage batteries. …”
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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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Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network
Published 2019“…Routing protocols for WSN are responsible for maintaining the routes between the source node and base station. The challenging issue of routing protocols is to reduce the communication overhead for data transmission by determining an optimal path. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. …”
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A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces
Published 2024“…The feature enhancement task is performed by applying the Path Aggregation Network (PANet) and Spatial Pyramid Pooling Network (SPPNet) algorithms, which are deployed to enhance the extracted and generated features. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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