Search Results - (( developing human detection algorithm ) OR ( java application clustering algorithm ))
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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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Thesis -
2
Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method
Published 2017“…Human skin detection is an important preprocessing step in many applications involving images such as face detection, gesture tracking, and nudity detection. …”
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3
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Final Year Project -
4
Detection of head position using chain code algorithm
Published 2007“…Human head detection is the first step of an autonomous human recognition system. …”
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Thesis -
5
Detection of head position using chain code algorithm
Published 2007“…Human head detection is the first step of an autonomous human recognition system. …”
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Thesis -
6
HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…The effect of video quality on human detection rate is discussed in Chapter 4. In a human detection, the software is represented by algorithms, in which algorithm also being used in the process of training the dataset. …”
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Final Year Project -
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approaches to develop such monitoring systems. …”
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Article -
9
Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…There are various approaches used to classify human activities for fall detection. Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approaches to develop such monitoring systems. …”
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Article -
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Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…The vision system developed is fully operational with human as communicator between parts inspected and results displayed through GUI. …”
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Conference or Workshop Item -
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
Published 2010“…For this purpose, two algorithm are has been developed to automatically detect the OC and IC. …”
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Thesis -
12
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Conference or Workshop Item -
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Human location estimation using thermopile array sensor
Published 2017“…Therefrom, an algorithm for early presence detection has been developed through the study of human body temperature behaviour with respect to the room temperature. …”
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Proceeding Paper -
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Development Of Control Algorithm For Spot Cooling System
Published 2017“…This project’s aim is to develop a Control Algorithm for Spot Cooling system. …”
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Monograph -
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…This study aims to develop an image processing algorithm that can produce lesser errors than human operators. …”
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Monograph -
16
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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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…This study aims to analyze human detection using the deep learning method in various positions and to develop social distancing detection using the proposed method. …”
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Undergraduates Project Papers -
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Development of a wearable human fall detection system
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Article -
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Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…Final output of the algorithm summarise the bleeding detection for all patient in an excel file. …”
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Thesis -
20
A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis
