Search Results - (( developing social basic algorithm ) OR ( java data normalization algorithm ))
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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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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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User to user topic recommendation model for student social interaction
Published 2025“…This predictive analytics model compared single and multi-classifier accuracy in predicting the importance of a topic for an individual. Then, a newly developed algorithm called the Social Recommendation (SAR) algorithm ranked and recommended the best topic for social interaction. …”
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Mobile application for sign language learning with real time feedback
Published 2024“…However, limited accessibility of sign language education poses barriers to social inclusion and awareness. This project proposes developing an innovative mobile application for interactive sign language learning to benefit both Deaf individuals and hearing loss individuals globally. …”
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Final Year Project / Dissertation / Thesis -
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Two sets of experimental data involving 20 diabetic patients and 20 healthy subjects were collected from CITO laboratory Semarang Central Java, Indonesia. …”
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Collaborative recommender system for online jewelry store
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A hybrid of fuzzy c-means clustering and Latent Dirichlet Allocation for analysing philanthropic corporate social responsibility activities / Nik Siti Madihah Nik Mangsor
Published 2023“…To date, philanthropic corporate social responsibility (PCSR) activities are ad-hoc in nature, where assistance is provided more to basic needs with very little attention to activities that can contribute to eradicating poverty. …”
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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…An incremental development approach is adopted in the project. The final deliverable of the project is an Android mobile application that integrates Google Cloud and Google Firebase while providing basic functions. …”
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The design for antrophomorphic sociable agent interaction through emotion detection
Published 2003“…This research works addresses on faces features through simulation of anthropomorphic agent.A salience feature of this definition of emotion is described in terms of goals and roles.Therefore, it provides a basic framework of goal-driven processing, which is to investigate computational models of emotion.The main goal of this research is to provide a natural interaction scheme where the affective interaction emotive state of the user can be identified.One aspect of developing such a capability is the ability of the system to recognize emotional state using intelligent supervised learning algorithms, personality of the user and respond appropriately.An anthropomorphic agent will serve to express the reaction through affective feedback given. …”
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Text-based emotion prediction system using machine learning approach
Published 2020“…The model was developed based on Ekman’s six basic emotions which are anger, fear, disgust, joy, guilt and sadness. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…This assumption alludes to the social behaviours and conventions of humans in crowded scenes. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…For this purpose, we develop an autonomous system that learns from double-bounce emails collected at a mail server. …”
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