Search Results - (( using system method algorithm ) OR ( basic detection method algorithm ))
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Enhanced algorithms for three-dimensional object interpreter
Published 2004“…Besides reducing the number of image regularities used and new method to solve the linear system, this study has proposed better solutions in terms of an enhanced thinning algorithm, a modified Freeman chain code algorithm as picture description language, and a new computational comer detection algorithm.…”
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Thesis -
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Cars detection in stitched image using morphological approach
Published 2017“…The method is improved by using algorithm which removes noise by sizes. …”
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Final Year Project Report / IMRAD -
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…As network attackers keep changing their methods of attack execution to evade the deployed intrusion-detection systems (IDS), machine learning (ML) algorithms have been introduced to boost the performance of the IDS. …”
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Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
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Web Camera Application For Motion Detection
Published 2003“…The new method to detect motion is "vision motion detection". …”
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Investigate And Analysis Of Deep Learning And Machine Learning Algorithm For Face Mask Detection System
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Undergraduates Project Papers -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Prior to localization of the base of young corn tree, skeletonizing operation is performed to get the basic shape of the object. Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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Thesis -
9
Development of land target following system of hexacopter
Published 2015“…A few experiments were conducted to get the performance of the methods focusing on color detection algorithms. The results of the experiments show that different approach angle and lighting of the hexacopter will result in different level of accuracy of the algorithm. …”
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Proceeding Paper -
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Retrieval based on skin color to detect the malicious images
Published 2009“…There still a lot of current algorithms are quite successful in using low-level features of the images such as color histogram and texture. …”
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Research Report -
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Power System State Estimation In Large-Scale Networks
Published 2010“…The developed methods are successfully tested on IEEE standard systems and the Sabah Electricy Sdn. …”
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Development of a new nonlinear filtering algorithm for impulse noise reduction
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Research Report -
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Image Based Oil Palm Tree Crowns Detection
Published 2020“…Image Based Oil Palm Tree Crowns Detection system is a basic system that enables the detection of oil palm tree crowns from red, green and blue (RGB) aerial images. …”
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Final Year Project Report / IMRAD -
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Human Spontaneous Emotion Detection System
Published 2018“…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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Thesis -
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Mobile robot positioning system
Published 2008“…Several motion control algorithm using BS2 software was develop to test the capabilities of system mobile motion in Y axis, X axis and other, particular attention is paid to evaluate the ability of the using Odometry to detect and correct positioning of the mobile platforms from 4 point. …”
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Learning Object -
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Moving detection using cellular neural network (CNN)
Published 2008“…The algorithm created is used to detect the ball in the images. …”
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Undergraduates Project Papers -
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Designing an integrated AIOT system for tracking class attendance
Published 2024“…For face detection the system uses a YOLO (You Only Look Once) algorithm, which allows quick and efficient recognition of student faces in the classroom context. …”
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Final Year Project / Dissertation / Thesis -
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Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…A Distributed Learning Classifier System (DLCS) consisting of five Learning Classifier Systems (LCS) with hierarchical architecture of three levels is used. …”
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Thesis -
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Face Detection System / Chan Beh Teng
Published 2004“…The method used for detecting face is a combination of color based technique and template matching. …”
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…The performance of these segmentation algorithms are measured using misclassification error. …”
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Research Report
