Search Results - (( features extraction study algorithm ) OR ( java application using algorithm ))
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…The study of areal surface metrology analysis focuses on feature identification to assist feature extraction procedure is crucial since it will help to enhance the essential features found on the surface. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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A Comparative Analysis of Feature Extraction Algorithms for Augmented Reality Applications
Published 2021“…Feature extraction and matching algorithms are used in many computer vision problems, including object recognition and structure from motion. …”
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Genetic algorithm based ensemble framework for sentiment analysis
Published 2018“…Prior to developing the whole multilayered ensemble framework, two separate experiments were performed to evaluate and study the different methods of feature extraction and selection. …”
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Provider independent cryptographic tools
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Development of a fingerprint gender classification algorithm using fingerprint global features
Published 2016“…This study is meant to enhance the forensic manual method by proposing a new algorithm for fingerprint global feature extraction for gender classification. …”
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Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
Published 2019“…The purpose of study is to extract the boundary of image, find the corner point and compare between two algorithms. …”
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Feature extraction using active appearance model algorithm with Bayesian classification approach
Published 2013“…It directed towards the illumination-invariant automatic recognition of faces and analysis to improve face verification and identification performance.To compare with other feature extraction at the end of the study, an evaluation has been done with an existing face recognition system using AAM algorithm. …”
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Conference or Workshop Item -
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Stability and reproducibility of radiomic features based various segmentation technique on MR images of Hepatocellular Carcinoma (HCC)
Published 2021“…Four types of features extraction were used for this study, which are tumour intensity, shape feature, textural feature and wavelet feature. …”
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Feature extraction from oil palm in vitro shoot images
Published 2010“…The feature extraction techniques are discussed in this article. …”
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Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri
Published 2018“…Algorithms developed for face recognition are tightly related to the rate of extracted face features. …”
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Multi-scene design analysis of integrated energy system based on feature extraction algorithm
Published 2022“…Then, convolution neural network is used to extract the feature vectors of comprehensive environmental factors. …”
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An integrated model of automated elementary programming feedback using assisted and recommendation approach
Published 2017“…Meanwhile, similar difficulty groups of the computer programs were generated using a K-Means clustering algorithm that was enhanced with ranking consideration. …”
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Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…The aim of this research is to contribute to the measurement of physiological dimensions of plant leaves by the proposed Auto-Measure algorithm to operate in an automatical manner which inherently requires an improvement in automatic feature extraction. …”
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Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
Published 2021“…To achieve this aim: First, A new feature selection method for TDC, that is, binary multi-verse optimizer algorithm (BMVO) is proposed to eliminate irrelevantly, redundant features and obtain a new subset of more informative features. …”
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