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A Novel Computationally Efficient Approach for Exploring Neural Entrainment to Continuous Speech Stimuli Incorporating Cross-Correlation.
Publication Type: Academic Journal
Source(s): Applied Sciences (2076-3417). Sep2023, Vol. 13 Issue 17, p9839. 12p.
Abstract: A linear system identification technique has been widely used to track neural entrainment in response to continuous speech stimuli. Although the approach of the standard regularization method using ridge regression provides a straightforward solution t...
Green Power Consumption Digital Identification System Based on Blockchain Technology.
Publication Type: Academic Journal
Source(s): Sustainability (2071-1050). Sep2023, Vol. 15 Issue 17, p12870. 18p.
Abstract: In China, the promulgation of a green power identification system has gradually shifted from electricity power generation to consumption. However, there is no mature digital identification system for green power consumption enterprises. Exploiting the ...
Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification.
Publication Type: Academic Journal
Source(s): Energies (19961073). Aug2023, Vol. 16 Issue 16, p5915. 21p.
Abstract: In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA)....
On Performance of Marine Predators Algorithm in Training of Feed-Forward Neural Network for Identification of Nonlinear Systems.
Publication Type: Academic Journal
Source(s): Symmetry (20738994). Aug2023, Vol. 15 Issue 8, p1610. 22p.
Abstract: Artificial neural networks (ANNs) are used to solve many problems, such as modeling, identification, prediction, and classification. The success of ANN is directly related to the training process. Meta-heuristic algorithms are used extensively for ANN ...
A Novel NLMS Algorithm for System Identification.
Publication Type: Academic Journal
Source(s): Electronics (2079-9292). Jul2023, Vol. 12 Issue 14, p3159. 12p.
Abstract: In this paper, we propose a novel normalized least mean squares (NLMS) algorithm for system identification applications. Our approach involves analyzing the mean squared deviation performance of the NLMS algorithm using a random walk model to select tw...
An Iterative Wiener Filter Based on a Fourth-Order Tensor Decomposition.
Publication Type: Academic Journal
Source(s): Symmetry (20738994). Aug2023, Vol. 15 Issue 8, p1560. 18p.
Abstract: This work focuses on linear system identification problems in the framework of the Wiener filter. Specifically, it addresses the challenging identification of systems characterized by impulse responses of long length, which poses significant difficulti...
Design and Build of Masked Face Identification System and IoT-Based Body Temperature Measurement.
Publication Type: Academic Journal
Source(s): International Journal on Advanced Science, Engineering & Information Technology. 2023, Vol. 13 Issue 4, p1582-1588. 7p.
Abstract: The new normal is an era in the behavior changed to obstruct the spread of COVID-19, such as decreasing people's mobility, body temperature measuring, mandatory masking, and getting a COVID-19 vaccine regularly. This study develops an identification sy...
Design of Nonlinear Marine Predator Heuristics for Hammerstein Autoregressive Exogenous System Identification with Key-Term Separation.
Publication Type: Academic Journal
Source(s): Mathematics (2227-7390). Jun2023, Vol. 11 Issue 11, p2512. 20p.
Abstract: Swarm-based metaheuristics have shown significant progress in solving different complex optimization problems, including the parameter identification of linear, as well as nonlinear, systems. Nonlinear systems are inherently stiff and difficult to opti...
Autonomous Drone Electronics Amplified with Pontryagin-Based Optimization.
Publication Type: Academic Journal
Source(s): Electronics (2079-9292). Jun2023, Vol. 12 Issue 11, p2541. 20p.
Abstract: In the era of electrification and artificial intelligence, direct current motors are widely utilized with numerous innovative adaptive and learning methods. Traditional methods utilize model-based algebraic techniques with system identification, such a...
The Accuracy and Computational Efficiency of the Loewner Framework for the System Identification of Mechanical Systems.
Publication Type: Academic Journal
Source(s): Aerospace (MDPI Publishing). Jun2023, Vol. 10 Issue 6, p571. 20p.
Abstract: The Loewner framework has recently been proposed for the system identification of mechanical systems, mitigating the limitations of current frequency domain fitting processes for the extraction of modal parameters. In this work, the Loewner framework c...