Search Results - (( _ application learning algorithm ) OR ( web application ((acs algorithm) OR (svm 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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Classifying good and bad websites
Published 2015“…This project illustrates that it is possible to classify websites as good or bad by using the underlying tags along with the machine learning algorithms.…”
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Final Year Project Report / IMRAD -
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A malicious URLs detection system using optimization and machine learning classifiers
Published 2020“…By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. …”
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Article -
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K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
Published 2025“…As proven by the obtained results, integrating feature selection with ensemble learning is effective for phishing detection; moreover, the scalability and efficiency of such a solution in real-world applications are demonstrated.…”
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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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Conference or Workshop Item -
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Phishing image spam classification research trends: Survey and open issues
Published 2020“…Among these methods, the most commonly utilized is the Support Vector Machine (SVM) which falls under supervised machine learning. …”
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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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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Thesis -
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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 Mobile Web Application Engine for Generating Destination-oriented LRT Route
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Three-dimensional structure of Human Epididymis Protein 4 (HE4): a protein modelling of an ovarian cancer biomarker through in silico approach
Published 2024“…These three servers em-ployed deep learning algorithms, threading templates, and de novomethods, respec-tively. …”
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Article -
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E4ML: Educational Tool for Machine Learning
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Conference or Workshop Item -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. …”
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Proceeding Paper -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
Published 2010Subjects: Get full text
Working Paper
