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1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…Even a normal people using clustering to grouping their data. …”
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SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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4
Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis
Published 2021“…Recently, due to the popularity of end-to-end deep learning, the applicability of algorithms such as convolutional neural networks (CNN) has been explored to achieve the mentioned tasks. …”
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Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
Published 2017“…The technique used to recognize human emotions is an AdaBoost algorithm as classifier. …”
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6
Performance enhancement of AIMD algorithm for congestion avoidance and control
Published 2011“…Computer networks have revolutionized the human life in the end of the last century. Two major technical differences between telephone communication and the computer networks are as follows. …”
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7
Development of person identification application for video surveillance
Published 2022“…However, it seems to like observing the video surveillance, to figure out a target, is not a simple task. It increases the human cost of video surveillance. Hence, person identification by the video surveillance application is developed in this project. …”
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Final Year Project / Dissertation / Thesis -
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Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…In comparison to human performance, the algorithm's performance closely matched that of human with 94 accuracy in identifying the syntax level strategies. …”
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Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
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Hardware development of autonomous mobile robot based on actuating lidar
Published 2022“…As opposed to a point cloud generated from high-end LiDAR sensors where many algorithms have been developed for object detection, sparse LiDAR point clouds still possess large room for improvement. …”
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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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12
Structural optimization of 4-DOF agricultural robot arm
Published 2024“…The best algorithm, i.e., the PSO algorithm, is evaluated by calculating mean square error (MSE of 0.00108527), root mean square error (RMSE of 0.01678), mean absolute error (MAE of 0.004286081), and end-effector position error (error of 0.080557045), where the best algorithm has the lowest value of error.…”
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Challenges of hidden data in the unused area two within executable files
Published 2009“…The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
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Development of wrist monitoring device to measure wrist range of motion
Published 2020“…MPU 6050 is one of the IMU used in this study to assess wrist range of motion. Algorithm using Arduino has developed to improve the accuracy. …”
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15
Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…At the end, the aim of this study is to develop a prototype system using proposed classification model for talent forecasting. …”
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Development of Low Cost Heart Rate Monitoring Device and Classification Technique Using Fuzzy Logics Algorithm
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Final Year Project -
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Feature extraction using active appearance model algorithm with Bayesian classification approach
Published 2013“…Face recognition is one of the most important and rapidly advanced active research areas of computer science.In spite of the large number of developed algorithms, real-world performance of face recognition has been disappointing. …”
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Classification of hand gestures from EMG signals / Diaa Albitar
Published 2022“…This study is to develop classification model to classify six hand gestures using Artificial Intelligent algorithm. …”
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Advance video analysis system and its applications
Published 2010“…This research aims at developing an Advance Video Analysis System (AVAS) which can be used in wide range of video surveillance applications as well as to detect moving objects and human beings. …”
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