Search Results - parallel features ((extraction algorithm) OR (encryption algorithm))
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1
Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…In addition, the parallel XTS mode was also simulated using Twofish and RC6 encryption algorithms. …”
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Thesis -
2
A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Published 2023“…We first extracted the emotion features from speech and calculated the F-Emotion value for each feature. …”
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Article -
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A parallel-model speech emotion recognition network based on feature clustering
Published 2023“…We first extracted the emotion features from speech and calculated the F-Emotion value for each feature. …”
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Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network
Published 2014“…Number of samples involving Flavia, Citrus and Coleus were collected. Then, suitable features including texture and shape were extracted from the dataset. …”
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5
Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…We started with a preliminary design of a multiplier run with typical NTT module that perform computation in parallel-in-serial-out manner before we moved into design with radix-R FNT modules that are able to compute in parallel-in-parallel-out manner for better performance. …”
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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7
Combining deep and handcrafted image features for MRI brain scan classification
Published 2019“…In this paper, a deep learning feature extraction algorithm is proposed to extract the relevant features from MRI brain scans. …”
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Robust partitioning and indexing for iris biometric database based on local features
Published 2018“…The proposed method combines three transformation methods DCT, DWT and SVD to analyse iris images and extract their local features. Further, the scalable K-means++ algorithm is used for partitioning and classification processes, and an efficient parallel technique that divides the features groups causing the formation of two b-trees based on index keys is applied for search and retrieval. …”
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An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. It uses a weighted K-means clustering algorithm based on the improved FA to optimize the initial clustering centers of K-means algorithm, known as Weighted K-means clustering-Improved Firefly Algorithm (WKIFA). …”
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10
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…The low-level features such as edges, blobs, and ridges were extracted for grouping and classification. …”
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Final Year Project / Dissertation / Thesis -
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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…Firstly, fast DWT is employed to extract the salient features of MRI images, followed by PCA, which reduces the dimensions of the features. …”
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12
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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Online harmonic extraction and synchronization algorithm based control for unified power quality conditioner for microgrid systems
Published 2022“…This manuscript proposes an Adaptive Linear Neural Network (ADALINE) based control for the unified power quality conditioner to protect the critical loads from voltage related power quality problems and mitigate the current related power quality problems produced by nonlinear loads. Due to parallel computing feature and simple algorithm, ADALINE is utilized widely in parameter estimation. …”
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Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink: article / Siti Nor Safinaz Ozaimidi
Published 2012“…Each scan lines were processed by transforming it into a feature value to analyze. RGB to intensity color conversion block is approach to compute the feature extraction. …”
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Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink / Siti Nor Safinaz Ozaimidi
Published 2012“…Each scan lines were processed by transforming it into a feature value to analyze. RGB to intensity color conversion block is approach to compute the feature extraction. …”
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Thesis -
17
A new multi-frames watermarking technique for tamper detection and recovery
Published 2017“…ROI-DR speed up the watermarking processing time by eliminating the tamper localization features and replacing the whole ROI image immediately with the extracted ROI image at the first encounter of tampered pixel. …”
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Design and implementation of multimedia digital matrix system
Published 2005“…This feature is valuable to simplify the process of frequency synthesis. …”
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Conference or Workshop Item -
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Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…The EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. …”
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Proceeding Paper
