Search Results - (( process features detection algorithm ) OR ( java application using algorithm ))
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Thesis -
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Smart student timetable planner
Published 2025“…The system is implemented using Node.js with Express for server-side development, HTML, CSS, and JavaScript for the frontend, and Socket.IO for real-time collaboration. …”
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Evaluation of feature selection algorithm for android malware detection
Published 2018“…The Android features were filtered before detection process using TF-IDF algorithm. …”
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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…Thus, not all features in the dataset can be used in the classification process since some features may lead to low performance of classifier. …”
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Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The TF-IDF algorithm is used to filter Android features filtered before detection process. …”
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…To address this problem, this research presents a fake news detection method that combines different features and developing methods for the most crucial phases in the detection process, including feature extraction, feature selection and fake news detection phases. …”
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Detection and extraction features for signatures images via different techniques
Published 2019“…In this paper, three widely used feature detection algorithms, SURF, BRISK and FAST, these algorithms are compared to calculate the processing time and accuracy for set of signatures correctly. …”
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Feature selection algorithms for Malaysian dengue outbreak detection model
Published 2017“…The experimental results showed that the predictive accuracy was improved by applying feature selection process before the predictive modeling process. …”
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An amplitude independent muscle activity detection algorithm based on adaptive zero crossing technique and mean instantaneous frequency of the sEMG signal
Published 2017“…The algorithm does not employ any amplitude features in the detection process and employs only frequency features of the sEMG signal; therefore it is amplitude independent and can detect muscle activities in signals that have low signal to noise ratio. …”
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An adept edge detection algorithm for human knee osteoarthritis images
Published 2023Subjects:Conference Paper -
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Shot boundary detection based on orthogonal polynomial
Published 2019“…The Features are derived from orthogonal transform domain (moments) to detect the hard transitions in video sequences. …”
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Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
Published 2019“…Viola-Jones algorithm can be categorized as one of an established and effective method (feature-based approach) for detecting face. …”
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…The research stage starts from pre-Processing, extraction, feature selection and classification processes and performance testing. …”
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Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
Published 2019“…Furthermore, two widely feature detection algorithms, which is Harris Corner Detector and FAST Corner Detector are used to compare in terms of the amount of corner point detection and run time of processing. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This improved algorithm, known as the edge-template Contour Delineation (etCD), is based on the fusion of edge detection with corner-template detection and dynamic thresholding to produce enhanced edge map. …”
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Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…The proposed algorithm is based on orthogonal moments which are considered as features to detect transitions. …”
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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features
Published 2023“…IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. …”
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