Search Results - (( _ applications means algorithm ) OR ( web application testing algorithms ))*
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…Lastly, on the Testing phase two type of data has been used to test this web tool result. …”
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. …”
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Final Year Project Report / IMRAD -
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Movie recommendation system / Najwa Syamimie Hasnu
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Student-Class (SC) optimization system / Haifaa Mahfuzah Hazalin
Published 2020“…Overall, the result of the application of the web-based showed that this application can be considered as successful and very helpful for the user.…”
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Comparison of CPU damage prediction accuracy between certainty factor and forward chaining techniques
Published 2024“…Next the outcomes of the Forward Chaining algorithm test. All questions about symptoms were answered affirmatively, except for one test which had a negative response. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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Conference Approval System (e-CoAS) / Nor Hidayah Rahim
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Enhancement of stemming process for malay illicit web content
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Customer sentiment analysis through social media feedback
Published 2022“…The data were then split into training and testing to be tested on the three different supervised learning algorithms used in this study which are Support Vector Machine, Random Forest, and Naïve Bayes. …”
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Undergraduates Project Papers -
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Lower Form Grade System (LF-Grade Sys) / Norhanisha Yusof ... [et al.]
Published 2023“…Therefore, the objective of this study is to develop a Lower Form Grade System (LF-Grade Sys), which is a web-based application grading system that is designed to help teachers systematically record and store pupil grades. …”
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Book Section -
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Genetic Algorithm for Web Data Mining
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Project Paper Report -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan
Published 2006“…This research was involved with the development of Web Based Applications for Energy Management System for providing Web application system, Web monitoring System and Genetic algorithm Based Network Reconfiguration Technique for loss minimization in the UiTM Distribution System. …”
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An optimized attack tree model for security test case planning and generation
Published 2018“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms
Published 2024“…This new improved approach is significant in helping web application developers to test their applications for all types of XSS and remove any detected vulnerabilities before releasing them to the public. …”
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