Search Results - (( feature extraction function algorithm ) OR ( using classification based algorithm ))
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Therefore, this research has designed fuzzy learning algorithm that is able to classify fruits based on their shape and size features using Harumanis dataset. …”
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Thesis -
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Jogging activity recognition using k-NN algorithm
Published 2022“…The finding in this project is the k-NN algorithm is good feature extraction and classifier. …”
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Academic Exercise -
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Computational Technique for an Efficient Classification of Protein Sequences With Distance-Based Sequence Encoding Algorithm
Published 2017“…A statistical metric-based feature selection algorithm is then adopted to identify the reduced set of features to represent the original feature space. …”
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Japanese face emotions classification using lip features
Published 2009Subjects: Get full text
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Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
Published 2022“…An indoor positioning using RFID technology based on various kernel function of the support vector machine (SVM), and feature extraction are proposed to determine the location of the goods. …”
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Conference or Workshop Item -
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Personalized human emotion classification using genetic algorithm
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Working Paper -
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A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah
Published 2012“…Then principal component analysis (PCA) was applied to normalize the extracted features.Novel techniques of auto-alignments with shape index procedures was developed here,where auto-alignments function was used to aligned image objects with horizontal coordinates to extracted object features in similar position. …”
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Thesis -
8
A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. …”
Proceedings Paper -
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Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency
Published 2018“…In order to minimize the extracted feature set, we applied the principal Component Analysis algorithm. …”
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Development of a personified face emotion recognition technique using fitness function
Published 2009Subjects: “…Feature extraction…”
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Classification of polymorphic virus based on integrated features
Published 2018“…Standard virus classification relies on the use of virus function, which is a small number of bytes written in assembly language. …”
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14
Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection
Published 2020“…Initially, several useful features are extracted from the EMG signals to construct the feature set. …”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…A new form of input which consists of scalogram and spectrogram images that represents both time and frequency domains , are then introduced in the classification of wink-based EEG signals. Different TL models were exploited to extract features from the transformed EEG signals. …”
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Thesis -
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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Thesis -
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Discrete wavelet packet transform for electroencephalogram based valence-arousal emotion recognition
Published 2015“…However, the challenging issues regarding EEG-based emotional state recognition is that it requires well-designed methods and algorithms to extract necessary features from the complex, chaotic, and multichannel EEG signal in order to achieve optimum classification performance. …”
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Thesis -
18
Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals
Published 2020“…Afterward, several time-frequency features are extracted to form the STFT feature set and DWT feature set. …”
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Thesis -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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