Search Results - (( web application ((svm algorithm) OR (based algorithm)) ) OR ( _ application among algorithm ))*

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  1. 1

    A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

    Published 2025
    “…Competency development is carried out on this KMS by downloading lecturer competency materials as needed and conducting discussion forums among colleagues. Lecturer competency measurement is carried out by first checking employee status using the SVM algorithm with an accuracy value of 72.28%, then using a hybrid SVM and PSO algorithm with an accuracy value of 100%. …”
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    Thesis
  2. 2

    An improved framework for content and link-based web spam detection: a combined approach by Shahzad, Asim

    Published 2021
    “…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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    Thesis
  3. 3

    A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

    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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    Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes by Lu, Chin Mei

    Published 2013
    “…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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    Thesis
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    Classifying good and bad websites by Koo, Ee Woon

    Published 2015
    “…Hence, SVM classifier achieved the highest accuracy among all. …”
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    Final Year Project Report / IMRAD
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    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
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    Thesis
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    Phishing image spam classification research trends: Survey and open issues by John Abari, Ovye, Mohd Sani, Nor Fazlida, Khalid, Fatimah, Mohd Yunus Bin Sharum, Mohd Yunus, Mohd Ariffin, Noor Afiza

    Published 2020
    “…This study reviews articles on phishing image spam classification published from 2006 to 2020 based on spam classification application domains, datasets, features sets, spam classification methods, and the measurement metrics adopted in the existing studies. …”
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    Article
  10. 10

    Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

    Published 2011
    “…Besides, this algorithm provides home users or application developers to implement their own event operators with bespoke syntax for their application purpose by defining cross-events corresponding to the event operators. …”
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    Thesis
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    Multi-population Genetic Algorithm for Rich Vehicle Routing Problems by Agany Manyiel, Joseph Mabor

    Published 2020
    “…Results from the experiments show that MPGA-RVRP performs better compared to benchmark, Multi-objective Genetic Algorithm (MOGA). A web-based logistic sys�tem has also been developed as use case for MPGA-RVRP.…”
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    Final Year Project
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    Malware visualizer: A web apps malware family classification with machine learning by Mohd Zamri, Osman, Ahmad Firdaus, Zainal Abidin, Rahiwan Nazar, Romli

    Published 2021
    “…This project uses three classification algorithm which are Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN). …”
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    Conference or Workshop Item
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    A malicious URLs detection system using optimization and machine learning classifiers by Lee, Ong Vienna, Heryanto, Ahmad, Mohd Faizal, Ab Razak, Anis Farihan, Mat Raffei, Eh Phon, Danakorn Nincarean, Shahreen, Kasim, Sutikno, Tole

    Published 2020
    “…In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. …”
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    Article
  15. 15

    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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    Article
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    Multi selection control algorithm in examination invigilation management system (ExIMS) for exchanging invigilation duties among invigilators at UiTM Pulau Pinang branch / Jamal Ot... by Othman, Jamal, Syed Abdullah, Sharifah Sarimah, Samsudin, Norshuhada, Wan Mohd Rosly, Wan Nur Shaziayani

    Published 2021
    “…Nevertheless, despite the excellent planning of invigilation duties assignment, it cannot make everybody satisfied. Thus, a web-based application system named Examination Invigilation Management Systems (ExIMS) has been developed using the System Development Life Cycle (SDLC) waterfall model methodology to meet the need of invigilation duties exchanged among invigilators or applicants. …”
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    Article
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    Multi selection control algorithm in examination invigilation management system (ExIMS) for exchanging invigilation duties among invigilators at UiTM Pulau Pinang branch / Jamal Ot... by Othman, Jamal, Syed Abdullah, Sharifah Sarimah, Samsudin, Norshuhada, Wan Mohd Rosly, Wan Nur Shaziayani

    Published 2021
    “…Nevertheless, despite the excellent planning of invigilation duties assignment, it cannot make everybody satisfied. Thus, a web-based application system named Examination Invigilation Management Systems (ExIMS) has been developed using the System Development Life Cycle (SDLC) waterfall model methodology to meet the need of invigilation duties exchanged among invigilators or applicants. …”
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    Article
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    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…Mostly, it attacks Android due to its popularity and high usage among end users. Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
    Proceedings Paper
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