Search Results - (( java implementation learning algorithm ) OR ( using quality trust 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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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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Statistically enhanced multi-dimensional trust computing mechanism for cloud computing
Published 2013“…Users can access cloud services and pay only for the usage similar to utilities.Trust computing systems can be employed for identifying the service providers quality in terms of their adherence to the committed in SLAs.Several trust computing mechanisms have been proposed in literature based on various algorithms and functions.Almost all of them are based on a single performance parameter and modify the trust scores monotonously when performance deviations are reported.This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores.Hence the proposed mechanism is protected from momentary fluctuations in system performances.The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long term system performance than the ones that were computed without the validation of the inputs.…”
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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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Statistically controlled robust trust computing mechanism for cloud computing
Published 2014“…Trust computing mechanisms can play an important role in identifying the right service providers who would meet the commitments specified in the Service Level Agreements.Literature has reported several trust computing mechanisms for different distributed systems based on various algorithms and functions.Almost all of them modify the trust scores monotonously even for momentary performance deviations that are reported.This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores using a hysteresis based algorithm.Hence the proposed mechanism can protect the trust scores from changes due to momentary fluctuations in system performances.The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long-term system performance than the ones that were computed without the validation of the inputs.…”
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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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Mitigating malicious nodes using trust and reputation based model in wireless sensor networks
Published 2018“…In this research, three models have been proposed namely Trust and Reputation Model for Wireless Sensor Networks (TReM-WSN), Recommendation-based Trust Model (RecommTM) and a multidimensional Trust and Reputation Model using Social, Quality of service and Ant colony system (TRM-SQA). …”
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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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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Trust-aware authentication and authorization for IoT: a federated machine learning approach
Published 2024“…The proposed solution for AA IoT utilizes a trust calculation algorithm based on Federated Learning (FL), which is suitable for IoT environments and enables data privacy and scalability. …”
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New Cryptographic Algorithms for Enhancing Security of Voice Data
Published 2010“…Cryptographic systems may be used to achieve VoIP security, but their impact on the Quality of Services (QoS) should be minimized. …”
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Selection of prospective workers using profile matching algorithm on crowdsourcing platform
Published 2022“…These criteria become variables that are used in the profile matching algorithm to find workers who best match the profiles offered. …”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat
Published 2017“…Reviewing scientific articles for high-quality journals is time-consuming (some cases take up to a year). …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…A standard is needed to ensure that the agarwood oil can be qualified according to its chemical properties so that accuracy can be trusted. Therefore, as part of an on-going research in grading the agarwood oil quality, the application of ANN is proposed to analyse agarwood oil quality using its chemical profiles. …”
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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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