Search Results - (( program negative detection algorithm ) OR ( java segmentation using algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Early detection and mitigation of DDoS attacks in software defined networks
Published 2018“…The algorithm was written in Python programming language to be implementing on a POX controller. …”
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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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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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Scrutinized System Calls Information Using J48 And Jrip For Malware Behaviour Detection
Published 2019“…However, such detection method still lacks in differentiate the malware behaviours and cause the rate of falsely identified rate, i.e., false positive and false negative increased. …”
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Coordinated Malware Eradication And Remediation Project (CMERP)
Published 2019“…However, such detection method still lack in differentiate the malwares behaviours and cause the rate of falsely identified rate i.e. false positive and false negative increased. …”
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Technical Report -
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Customer sentiment analysis through social media feedback: A case study on telecommunication company
Published 2022“…This study presents a machine learning approach to analyse how sentiment analysis detects positive and negative feedback about a telecommunication company’s products. …”
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Car detection using cascade classifier on embedded platform
Published 2020“…For car detection process, object detection by cascade classifier method is used. …”
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Customer sentiment analysis through social media feedback
Published 2022“…This study presents a machine learning approach to analyse how sentiment analysis detects positive and negative feedback about TM ONE products. …”
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Undergraduates Project Papers -
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Query proof structure caching for incremental evaluation of tabled prolog programs / Taher Muhammad Ali
Published 2013“…PROLOG is the most well known, widely used programming language for logic programming. PROLOG is a programming language that uses a small set of basic mechanisms to create surprisingly powerful programs. …”
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