Search Results - (( using identification based algorithm ) OR ( using interactive method algorithm ))
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MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
Published 2017“…In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
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Thesis -
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Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…Finally, the k-nearest neighbors ( kNN) classification technique was used for automatic gender identification of an emotional-based EEG dataset. …”
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EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN
Published 2019“…Besides, common spatial pattern (CSP) is the well-known method for classification algorithm in the BCI field. …”
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Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…This research contributes to method in face recognition, which can be used in broad fields such as video and image processing, human-computer interaction, criminal identification, homeland security and numerous consumer applications.…”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…If the scene is stationary, the identification of the moving people is addressed based on the correlation tracking technique. …”
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EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…Hence, this work aims to develop an algorithm using statistical-CSP feature for eye state classification from EEG signal. …”
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Conference or Workshop Item -
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EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…Hence, this work aims to develop an algorithm using statistical-CSP feature for eye state classification from EEG signal. …”
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System identification of an interacting series process for real-time model predictive control
Published 2009“…In this study, the discrete-time identification approach based on subspace method with N4SID algorithm is applied to construct the state space model around a given operating point, by probing the system in open-loop with variation of input signals. …”
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Identification of alzheimer diseaseassociated pathways and network using transcriptome analysis / Lau Ching Yee
Published 2018“…In this study, we integratively reanalyzed the publicly available transcriptome data sets of AD studies using human post-mortem brains. By using this method, the capability of detecting weak signals could be improved and novel biological insights which could not be obtained from the individual studies could be gained. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…In the robot hybrid control method the neural networks, fuzzy logics and randomization strategies were used. …”
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Vision based entomology: a survey
Published 2014“…This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). …”
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Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…Use of interactive segmentation can further enhance these results dramatically as all the standard images that were not segmented correctly by the automatically method were correctly segmented after the utilization of the interactive mode.…”
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Characterisation of essential proteins in proteins interaction networks
Published 2013“…The proposed method, namely EP3NN (Essential Proteins Prediction using Probabilistic Neural Network), employed a machine learning algorithm called Probabilistic Neural Network as a classifier to identify essential proteins of the organism of interest. …”
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Advances in automatic insect classification
Published 2014“…This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). …”
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Design and performance analysis of artificial neural network for hand motion detection from EMG signals
Published 2013“…This article represents the classification of Electromygraphy (EMG) signal for the detection of different predefined hand motions (left, right, up and down) using artificial neural network (ANN). The neural network is of backpropagation type, trained by Levenberg-Marquardt training algorithm. …”
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Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis
Published 2011“…In this system,similar insolvent system, three methods including one variable at a time, Taguchi method and ANN were used for optimization and prediction of percentage of conversion. …”
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. …”
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