Search Results - (( java implication tree algorithm ) OR ( software detection learning algorithm ))
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Detection on ambiguous software requirements specification written in malay using machine learning
Published 2017“…Hence, we propose a framework to detect ambiguity on SRS using supervised machine learning technique. …”
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Comparison on machine learning algorithm to fast detection of malicious web pages
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Bot detection using machine learning algorithms on social media platforms
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Rao-SVM machine learning algorithm for intrusion detection system
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Smart object detection using deep learning algorithm and jetson nano for blind people
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Phishing attack detection using machine learning method
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Undergraduates Project Papers -
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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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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
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Final Year Project / Dissertation / Thesis -
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A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications
Published 2022“…Currently, academic literature does not really cover the topic of unsupervised machine learning techniques for anomaly detection. This paper provides an overview of the current deep learning and unsupervised machine learning techniques for anomaly detection and discusses the fundamental challenges in anomaly detection. …”
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Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman
Published 2022“…Besides, to test the accuracy of detection models on keylogger dataset comparing two machine learning algorithms. …”
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Student Project -
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Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…As a result, this paper presents several machine learning algorithms that include Decision Tree (DT), Support Vector Machine (SVM), Extremely Fast Decision Tree (EFDT) and Hybrid (DT-SVM) for detecting and classifying conflicting flows in SDNs. …”
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Applying learning to filter text
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Hybrid sampling and random forest machine learning approach for software detect prediction
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