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Generating new data points using singular value decomposition
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Effects of atypical observations on the estimation of seemingly unrelated regression model
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Forecasting with DSGE models : the case of South Africa
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State estimation and model-based fault detection in a submerged arc furnace
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Machine Learning Applications to Static Timing Analysis
Published 2022“…The proposed DL-NLDM performed better than the standard 7x7 NLDM-LUT tables in percentage errors compared to SPICE simulation. In addition, deep learning waveform delay model, DL-WFDM, is proposed to radically change transition/delay propagation to a full waveform propagation that can be used to measure the delay or perform ECSM delay calculations. …”
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Massivelly parallel modular algorithms for the image of rational maps
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Detecting change in complex process systems with phase space methods
Published 2008“…The first method considered was a change-point algorithm that is based on singular spectrum analysis. The second method applied to the data was mutual cross prediction, which utilises the prediction error from a multilayer perceptron network. …”
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Monitoring and diagnosis of process systems using kernel-based learning methods
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The implementation of noise addition partial least squares
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Pose estimation and data fusion algorithms for an autonomous mobile robot based on vision and IMU in an indoor environment
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The simulation and optimization of steady state process circuits by means of artificial neural networks
Published 2012Get full text
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