Search Results - (( gate detection using algorithm ) OR ( java application learning algorithm ))
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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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Thesis -
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Real time motorcycle image detections on field programmable gate array
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Conference or Workshop Item -
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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 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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Conference or Workshop Item -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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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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Thesis -
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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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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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