Search Results - (( developing web detection algorithm ) OR ( java application learning algorithm ))

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    Web application vulnerabilities detection model by Buja, Alya Geogiana, Abd. Jalil, Kamarularifin, Mohd Ali, Fakariah, Abdul Rahman, Teh Faradilla

    Published 2016
    “…This research aim to solve these issues by developing a detection model for detecting and recognizing the web vulnerabilities based on the defined and identified criteria. …”
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    Research Reports
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    Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms by Hydara, Isatou

    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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    Thesis
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    Towards cross-site scripting vulnerability detection in mobile web applications by Hydara, Isatou, Md Sultan, Abu Bakar, Zulzalil, Hazura, Admodisastro, Novia Indriaty

    Published 2018
    “…It proposes an enhanced genetic algorithm-based approach that detects cross-site scripting vulnerabilities in mobile versions of web applications. …”
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    Article
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    Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

    Published 2008
    “…On the other hand, the analysis of encryption algorithms with Web browsers, the results have shown that Twofish algorithm is best suited to the system that has been developed using ASP Web programming language on Internet Explorer. …”
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    Thesis
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    Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar... by Shamsudin, Muhammad Azziq, Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah

    Published 2022
    “…Their facial expression is measure and determine based on Rating of Perceived Exertion (RPE) scale. The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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    Book Section
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    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan by Shahron Nizan, Muhammad Shahmi

    Published 2023
    “…This project aims to develop a web-based application utilizing the Random Forest Classification Algorithm to aid concerned parents in detecting potential Autism Spectrum Disorder (ASD) symptoms in their children aged 1-6 years in Malaysia. …”
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    Thesis
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    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

    Published 2022
    “…This may be due to lack of budget and needing additional guidance to transition to more advanced technologies. For these purposes, a web scraping program is developed to identify the supply risks caused by these temporary events. …”
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    Final Year Project Report / IMRAD
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    Bot detection using machine learning algorithms on social media platforms by Gannarapu, Sainath, Dawoud, Ahmed, Ali, Rasha S., Alwan, Ali Amer

    Published 2021
    “…The components of the study are data, feature selection, and bot detection. The research performs web development and hosting on the collected data with a machine-learning algorithm to perform bot detection in social media networks. …”
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    Proceeding Paper
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    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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    Conference or Workshop Item
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    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…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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    Thesis