Search Results - (( java implementation learning algorithm ) OR ( programming tracking data 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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Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…This research work has used novice programming learners’ eye-tracking and Galvanic Skin Response (GSR) data in a novel approach. …”
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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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Trajectory tracking control of two wheels mobile robot
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Research Report -
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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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IoT based IMU sensor network for human arm pose estimation / Jahangir Hassan Khan
Published 2019“…The Forward Kinematics approach has great advantage such as being easy to program and its faster computational speed, as compared to the conventional arm pose estimation algorithms. …”
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Train Track Misalignment Detection System
Published 2014“…The overall measurement analysis showed good correlation between actual track features and IMU sensor data.…”
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Developing and validating a simulation model for counting and classification of vehicles
Published 2016“…An algorithm system approach has been presented for extracting traffic data using video image processing. …”
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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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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Classification of strategies for solving programming problems using Aol sequence analysis
Published 2019“…This eye tracking study examines participants’ visual attention when solving algorithmic problems in the form of programming problems. …”
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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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Implementation of hashed cryptography algorithm based on cryptography message syntax
Published 2019“…The coding is designed in such a way that there is a malicious attack to destroy the data. The system will automatically protect data and thus retrieve data at the end of the system. …”
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The implementation of post-processing data thinning for multibeam echo sounding data
Published 2006“…The process to reduce the size is called data thinning. Data thinning algorithms should be capable in handling high volume of MBES data. …”
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