Search Results - (( java implementation learning algorithm ) OR ( knowledge pre implementation 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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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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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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Simulation model algorithm for pre-hospital emergency care (PHEC) volunteers in Indonesia
Published 2018“…Algorithm models for PHEC simulation have some strengths in real setting and effective interactive learning to evaluate the capabilities of first responders in managing pre-hospital emergency, and improve problem-solving skills, as well as their performance in such aspects as skill, knowledge, and attitude.…”
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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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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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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This algorithm has been tested and implemented successfully via a dual beam optical scanning system.…”
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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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An intelligent categorization tool for malay research articles
Published 2015“…In this study, a genetic algorit.hm {GA) is also proposed to be implemented in order to determine the set of terms that can be used in clustering bilingual documents with more effective.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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14
Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2006“…This algorithm has been tested and implemented successfully via a dual-beam optical scanning module. © 2006 Asian Network for Scientific Information.…”
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Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…This algorithm has been tested and implemented successfully via a dual-beam optical scanning module. � 2006 Asian Network for Scientific Information.…”
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Design, development and performance optimization of a new artificial intelligent controlled multiple-beam optical scanning module
Published 2023“…This algorithm has been tested and implemented successfully via a dual-beam optical scanning module. � 2006 Asian Network for Scientific Information.…”
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Cognitive knowledge-based model for adaptive feedback: A case in physics / Andrew Thomas Bimba
Published 2019“…This form of representation is achieved through the knowledge elicitation, knowledge bonding, and adaptive feedback algorithms. …”
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A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers
Published 2025“…Anchored in Vygotsky’s Constructivist Theory and the Technological Pedagogical Content Knowledge (TPACK) framework, the study aims to explore the gap between teachers’ awareness of AI and their practical and ethical preparedness to implement AI tools in the 21st century pedagogy classroom. …”
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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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Lung Nodules Classification Using Convolutional Neural Network with Transfer Learning
Published 2023“…The objectives of this study are to pre-process lung nodules data, develop a CNN with transfer learning algorithm, and analyse the effectiveness of CNN with transfer learning compared to standard of other methods. …”
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