Search Results - (( java simulation optimization algorithm ) OR ( using eeg function algorithm ))
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Functional link PSO neural network based classification of EEG mental task signals
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Working Paper -
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Reference-free Reduction of Ballistocardiogram Artifact from EEG Data Using EMD-PCA
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Conference or Workshop Item -
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EEG Different Frequency Sound Response Identification using Neural Network and Fuzzy Techniques
Published 2010“…Principle Component algorithm, Discrete Wavelet Transform and Fast Fourier Transform, are applied onto the raw EEG signal to extract useful information and specific characteristics from the EEG signals. …”
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Article -
4
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
Published 2019“…Hence, the proposed work aimed to analyse the EEG eye state signal as well as develop an algorithm using statistical-CSP features on the eye state identification.…”
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Final Year Project -
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Optimal input features selection of wavelet-based EEG signals using GA
Published 2004“…We present a method of selecting optimal input features from wavelet coefficients of electroencephalogram (EEG) signals. A combination of genetic algorithm (GA) and artificial neural network (ANN) are used to select the relevant features. …”
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Measurement Of Engagement And Cortical Reorganization In Brains Of Stroke Patients Via Electroencephalography (EEG) As A Result Of Visual Feedback Therapy
Published 2018“…EMOTIV EPOC+ is the EEG device used in this research to quantify engagement index as well as the brain functional recovery through its recorded EEG signals. …”
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Monograph -
10
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Thesis -
11
Reference-free reduction of ballistocardiogram artifact from EEG data using EMD-PCA
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Conference or Workshop Item -
12
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
13
Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis
Published 2014“…This paper presents an algorithm for extracting underlying frequency components of massive Electroencephalogram (EEG) data. …”
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Article -
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EEG-based fatigue detection using binary pattern analysis and KNN algorithm
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Proceeding Paper -
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Bio-signal identification using simple growing RBF-network (OLACA)
Published 2007“…An enhanced online adaptive centre allocation algorithms (or resource allocation network (RAN)) using simple/stochastic back-propagation method with minimal weight update variant are developed for direct-link radial basis function (DRBF) networks. …”
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Classification Of EEG Imagery Motor Function Using 3D Convolutional Neural Network
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Final Year Project -
17
Social Anxiety Disorder Evaluation using Effective Connectivity Measures: EEG Phase Slope Index Study
Published 2021“…The EEG data was used to estimate the EC network using the phase slope index (PSI) algorithm in the alpha band (8-13 Hz). …”
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Conference or Workshop Item -
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Brain machine interfaces: recognition of mental tasks using neural networks and PSO learning algorithms / Hema C.R. ...[et al.]
Published 2009“…Band power features of the EEG signals are used for the classification. The classification performance of the functional link network is seen to be higher than an Elman network. …”
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Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
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Working Paper
