Search Results - (( _ application among algorithm ) OR ( web application ((path algorithm) OR (svm algorithm)) ))
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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
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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Classifying good and bad websites
Published 2015“…Hence, SVM classifier achieved the highest accuracy among all. …”
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Development of web-based GIS for traffic management system with obstacle avoidance technique using open source software
Published 2014“…In order to calculate the shortest path between two nodes, Dijkstra algorithm was utilized. …”
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
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An improved framework for content and link-based web spam detection: a combined approach
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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Phishing image spam classification research trends: Survey and open issues
Published 2020“…More than 50 articles, both from Web of Science and Scopus databases were picked. …”
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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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A review of slicing techniques in software engineering
Published 2015“…This specific survey focuses on slicing techniques in the fields of numerous programing paradigms like web applications, object oriented, and components based. …”
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Proceeding Paper -
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Malware visualizer: A web apps malware family classification with machine learning
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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A Dijkstra’s Mobile Web Application Engine for Generating Integrated Light Rail Transit Route
Published 2010“…In previous research we are implemented the mobile web application using rules based algorithm where the destination-oriented routes need to be dynamically generated by determining the nearest station according to the specific places. …”
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A malicious URLs detection system using optimization and machine learning classifiers
Published 2020“…The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. …”
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Optimization of LRT Route for Mobile Web Application Engine
Published 2009“…In this paper, we proposed the used of Dijkstra’s Algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination. …”
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Named entity recognition using a new fuzzy support vector machine.
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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A Mobile Web Application Engine for Generating Destination-oriented LRT Route
Published 2009“…In this paper, we proposed the used of Dijkstra’s Algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination.…”
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K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…In the first phase, the best set of features is identified by the Genetic algorithm and is utilised by the K-means clustering algorithm to divide the dataset into groups with similar traits. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Intent-IQ is a web application system which allows users to input Shopee product link and it leads to the intent classification, where the reviews can be classified into its intent categories such as praise, complaint and suggestion. …”
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