Search Results - features extraction ((method algorithm) OR (max algorithm))
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ANALYSIS OF BIOSENSOR PHYSIOLOGICAL SIGNALS FOR ASSESSMENT OF NEUROLOGICAL STATUS
Published 2018“…All the data signals of the 20 subjects will then be processed with features extraction method using mean, maximum (Max), minimum (Min), mean absolute deviation (MAD), Standard deviation (STD), interquartile range (IQR) and summation (Sum). …”
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Final Year Project -
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification
Published 2010“…Fuzzy if-then rules are extracted from the modified FMM classifier, and a ``don't care'' approach is adopted by the GA rule extractor to minimize the number of features in the extracted rules. …”
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Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
Published 2016“…These extracted features are subjected to locality sensitive discriminant analysis (LSDA) feature reduction method. …”
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Automated plaque classification using computed tomography angiography and Gabor transformations
Published 2019“…Specifically, seven features are extracted from the Gabor coefficients: energy, and Kapur, Max, Rényi, Shannon, Vajda, and Yager entropies. …”
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Human action recognition using slow feature analysis / Bardia Yousefi
Published 2016“…Primarily, a form feature is defined. This feature biologically follows the visual system through applying active basis model and incremental slow feature analysis for extraction of the slowest form features of human object for ventral stream. …”
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Thesis -
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The feature extraction methods evaluated were Grayscale Pixel Values, Mean Pixel Value of Channels, and Extracting Edge Features. …”
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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. Methods of feature extraction can be separated into word based and phrase based. …”
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Extracting feature from images by using K-Means clustering algorithm / Abdul Hakim Zainal Abidin
Published 2016“…This research purposed clustering algorithm to improve process extracting feature in images to get meaningful information because it can speed up the time to process of extracting meaningful information in images due to the efficient of the algorithm that has high performance to process the image. …”
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Cancellable face template algorithm based on speeded-up robust features and winner-takes-all
Published 2020“…This research presents a cancell able face image algorithm built upon the speeded-up robust features method to extract and select features. …”
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Fractal coding of bio-metric image for face authentication
Published 2021“…This thesis implements the algorithms for the Methods of CPM, BPBM fractal coding, and its application. …”
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Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification
Published 2017“…Feature extraction techniques based on global feature extraction such as Principle Component Analysis (PCA) were implemented. …”
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12
Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…Due to the current methods in feature extraction are still improving, this project proposed a new feature extraction method to increase the performance of iris classification. …”
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Monograph -
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BRAIN ACTIVITIES FOR MOTOR MOVEMENT
Published 2012“…The Feature extraction method MVAAR couldn’t extract the actual feature for the four movements so we couldn’t classify between them.…”
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Final Year Project -
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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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Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan
Published 2014“…The main objective of this effort is to explore the utility of two feature extraction methods, namely, hand contour and complex moments to solve the hand gesture recognition problem by identifying the primary advantages and disadvantages of each method. …”
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A fast feature extraction algorithm for image and video processing
Published 2019“…We compared the proposed method with the traditional approach of feature extraction using a standard image technique. …”
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Conference or Workshop Item -
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification
Published 2023“…However, the ACO suffers from premature convergence which leads to poor feature subset. Therefore, an improved feature extraction and selection for sky image classification (FESSIC) algorithm is proposed. …”
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…The accuracy of fake news detection models relies mainly on the quality of the extracted features and the method used in detection. …”
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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“…Although there are many feature identification and feature extraction procedures to identify and extract the features on the surfaces based on segmentation methods as presented in previous studies, problem arises when most of them are unable to fulfil the requirements when being implemented on a particular surface topography such as unable to point out at which exact data points the edges features are actually located. …”
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