Search Results - (( java implementation learning algorithm ) OR ( program during armed algorithm ))

Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…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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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…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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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ZUBAIR ADEL SOOMRO, ZUBAIR ADEL SOOMRO, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ADRIANS, ANDI, HAZELI, MOHD

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABD HALIM, RUZAIR1, ADRIAN, ANDI, HAZELI, MOHD

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot by Soomro, Zubair Adil, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…In particular, nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called Attentive Recognition Model (ARM) is proposed to recognize a person’s attentiveness, which improves the accuracy of detection and subjective experience during nonverbal HRI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZIJBAIR ADEL, SHANISUDIN, ABU UBAIDAH, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ADRIANSHAH, ANDI, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABDUl RAHIM, RUZAIRI, ADRIAN, ANDI, HAZELI, MOHD

“…In particular, nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. 1n this paper, a conceptual attentiveness model algorithm called Attentive Recognition Model (ARM) is proposed to recognize a person's aLi:~ntivencss, which improves tne a-::Jtac~· of detection and subjective experience during nonverbal dRI using three combined detection models: face tracking, iris tracking and eye blin:.…”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ADEL SOOMP, ZIJBAIR, SHANISUDIN, ABU UBAIDAH, NT ABD, RUZAIR, DRIAN, RAHEVI AMA, MOIED HALELI, AH

“…In particular. nonverbal HRI plays an important role in social interactions, which highlights the need to accurately detect the subject's attention by evaluating the programmed cues. In this paper, a conceptual attentiveness model algorithm called attentive Recognition Model (ARM) is proposed to recognize a person's aii:ontiveness, which improves the of detection and subjective experience during nonverbal ARI using three combined detection models: face tracking, iris tracking and eye blinking. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model by Oh, Chai Lian

“…Active changes in forces in element groups even within the far-away element groups of SBS models are observed during the shape change analysis. In conclusion, the findings of this basic study have paved the way for realization of spine inspired flexible arm with magnitude shape change ability.…”
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