Search Results - (( java implementation learning algorithm ) OR ( gate detection using 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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Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak
Published 2020“…Towards achieving better detection in real-time environment, colour pixel-based images were trained on five pre-trained CNNs using transfer learning algorithm. …”
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Real time motorcycle image detections on field programmable gate array
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Acceleration of the Presenter Detection Algorithms Using FPGA as a Coprocessor for Effective Video Recording
Published 2015“…High computation power is required to perform video processing for the detection of the presenter. Instead of using a normal embedded to perform real time video processing, Field Programmable Gate Array (FPGA) can be used as a coprocessor to perform complex computation algorithm. …”
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Final Year Project -
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An FPGA based embedded vision system for real-time motion detection
Published 2015“…The system was able to process 10 pixels at one clock cycle to detect object by using only 643 logic blocks.…”
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Proceeding Paper -
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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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An Improved Ensemble Deep Learning Model Based on CNN for Malicious Website Detection
Published 2023Conference Paper -
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Implementation of Real-time Simple Edge Detection on FPGA
Published 2005“…The objective of this paper was to develop a real time hardware image processing system which is based on Field Programmable Gate Array (FPGA). The chosen image processing algorithms implemented was edge detection. …”
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IMAGE PROCESSING ALGORITHMS ON FPGA
Published 2007“…The objective of this project is to construct a real time hardware image processing system which based on Field Programmable Gate Array (FPGA). The chosen image processing algorithms are implemented on two systems which are Color Filtering System and Edge Detection System. …”
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Final Year Project -
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Implementation of real-time simple edge detection on FPGA
Published 2007“…The objective of this paper was to develop a real time hardware image processing system which is based on Field Programmable Gate Array (FPGA). The chosen image processing algorithms implemented was edge detection. …”
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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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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. …”
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