Search Results - (( based applications _ algorithm ) OR ( web application ((cell algorithm) OR (svm algorithm)) ))*
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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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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 Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…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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A malicious URLs detection system using optimization and machine learning classifiers
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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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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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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Mining and integration of oral cancer genomics for predictive therapeutics / Bernard Lee Kok Bang
Published 2019“…Later, antiproliferative experiments confirmed the efficacy of bosutinib in controlling tumour iv growth in oral cancer cell lines. Technical evaluation of performance reliability of six gene signature similarity scoring algorithms showed that the Weighted Connectivity Score or the statistically significant Connectivity Map, are prime candidates for upgrading the current core algorithm of DeSigN, which is based on the Kolmogorov-Smirnov statistic. …”
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Review on the Recent Developments of Photovoltaic Thermal (PV/T) and Proton Exchange Membrane Fuel Cell (PEMFC) Based Hybrid System
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
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Phishing image spam classification research trends: Survey and open issues
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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Classifying good and bad websites
Published 2015“…Websites classification has become a vital subject matter as most websites are increasingly being used as a platform for various applications. These web pages often contain semi-structured content which make the classification process challenging. …”
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Final Year Project Report / IMRAD -
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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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Image Segmentation Using an Adaptive Clustering Technique for the Detection of Acute Leukemia Blood Cells Images
Published 2024Proceedings Paper -
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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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