Search Results - (( time optimization based algorithm ) OR ( pattern extraction based algorithm ))
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Optimized clustering with modified K-means algorithm
Published 2021“…Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
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Thesis -
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EMG motion pattern classification through design and optimization of neural network
Published 2012“…The EMG signals obtained for different kinds of hand motions, which further denoised and processed to extract the features. Extracted time and time-frequency based feature sets are used to train the neural network. …”
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Proceeding Paper -
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper -
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Electromyography signal processing based on time and time-frequency representations for prosthesis application
Published 2014“…This thesis investigates the necessity of the ECS improvements by processing the EMG signal through a pattern recognition-based control system for prosthesis application. …”
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Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das
Published 2019“…A PSO-based algorithm is adopted for the appropriate selection of dominated parameters of SVR-based model to achieve better performance. …”
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Animal voice recognition for identification (ID) detection system
Published 2011“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. …”
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Dog voice identification (ID) for detection system
Published 2012“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. …”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…This generative model enables adaptive similarity-based classifiers to classify time-labeled inquiry pattern with superior accuracy in a low dimensional feature space. …”
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Thesis -
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New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…In terms of controller-based, in this work, a new global maximum power point tracking (GMPPT) algorithm based on a modified butterfly optimization algorithm (MBOA) has been proposed. …”
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P300 detection of brain signals using a combination of wavelet transform techniques
Published 2012“…By reduction of recording EEG channels in the single trial based algorithms, the processing time of P300 detection decrease dramatically. …”
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Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun
Published 2021“…The results showed that the proposed model could capture patterns of the monthly and daily interval of the hydrological time series. …”
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Potential issues in novel computational research: artificial immune systems
Published 2003“…Recent trends in computational research show the significance of computation-based biological research, for example, bioinformatics and system biology, and biologically inspired computational research, which includes genetic algorithms, artificial neural networks, and evolutionary programming. …”
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Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization
Published 2015“…The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data. …”
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Fractal coding of bio-metric image for face authentication
Published 2021“…The thesis also compares the results of enough images of various sizes generated by the proposed algorithms with the results of other fractal coding methods to confirm the algorithms’ clarity, reliability and validity. …”
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A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification
Published 2010“…The first stage consists of a modified fuzzy min-max (FMM) neural-network-based pattern classifier, while the second stage consists of a genetic-algorithm (GA)-based rule extractor. …”
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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…This set of rules includes combination of new created extraction rules with dependency-based rules and pattern-based rules from the previous studies. …”
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Thesis -
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Protein Sequences Classification Using Modular RBF Neural Networks
Published 2002“…Traditionally, two protein sequences are classified into the same class if they have high homology in terms of feature patterns extracted through sequence alignment algorithms. …”
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