This paper discusses the separate observer-based estimation and control for unmanned autonomous vehicles with disturbances and faults under input saturation effects. A trajectory tracking control scheme is designed wi...
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This study aims to analyze flow stability using a computational intelligence technique that integrates a Levenberg-Marquardt approach utilizing artificial intelligence implemented through a backpropagation neural netw...
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Dielectrophoresis-based biochips with various microelectrode configurations have been extensively studied within the last five deca des. However, wide-field application is still challenging. This study aims to fabrica...
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Reaction–diffusion systems are mathematical models which link to several physical *** most common is the change in space and time of the meditation of one or more ***–diffusion modeling is a substantial role in the ...
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Reaction–diffusion systems are mathematical models which link to several physical *** most common is the change in space and time of the meditation of one or more ***–diffusion modeling is a substantial role in the modeling of computer propagation like infectious *** investigated the transmission dynamics of the computer virus in which connected to each other through network *** current study devoted to the structure-preserving analysis of the computer propagation *** manuscript is devoted to finding the numerical investigation of the reaction–diffusion computer virus epidemic model with the help of a reliable *** designed technique is finite difference scheme which sustains the important physical behavior of continuous model like the positivity of the dependent variables,the stability of the *** theoretical analysis of the proposed method like the positivity of the approximation,stability,and consistency is discussed in detail.A numerical example of simulations yields the authentication of the theoretical results of the designed technique.
The primitive focus of this article is to examine the consequences of unsteady electrically conducting non-Newtonian magnetised tangent hyperbolic hybrid nanofluid flow which slides along the extensible surface with a...
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Recent developments in Multiple-Input-Multiple-Output (MIMO) technology include packing a large number of antenna elements in a compact array to access the bandwidth benefits provided by higher mutual coupling (MC). T...
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A multiscale steady discrete unified gas kinetic scheme with macroscopic coarse mesh acceleration [accelerated steady discrete unified gas kinetic scheme (SDUGKS)] is proposed to improve the convergence of the origina...
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A multiscale steady discrete unified gas kinetic scheme with macroscopic coarse mesh acceleration [accelerated steady discrete unified gas kinetic scheme (SDUGKS)] is proposed to improve the convergence of the original SDUGKS for an optically thick system in solving the multigroup neutron Boltzmann transport equation (NBTE) to analyze the distribution of fission energy in the reactor core. In the accelerated SDUGKS, by solving the coarse mesh macroscopic governing equations (MGEs) derived from the moment equations of the NBTE, the numerical solutions of the NBTE on fine meshes at the mesoscopic level can be rapidly obtained from the prolongation of the coarse mesh solutions of the MGE. Furthermore, the use of the coarse mesh can greatly reduce the computational variables and improve the computational efficiency of the MGE. The biconjugate gradient stabilized Krylov subspace method with the modified incomplete LU preconditioner and the lower-upper symmetric-Gauss-Seidel sweeping method are implemented to solve the discrete systems of the macroscopic coarse mesh acceleration model and mesoscopic SDUGKS to further improve the numerical efficiency. Numerical solutions validate good numerical accuracy and high acceleration efficiency of the proposed accelerated SDUGKS for the complicated multiscale neutron transport problems.
Matrix completion is one of the crucial tools in modern data science research. Recently, a novel sampling model for matrix completion coined cross-concentrated sampling (CCS) has caught much attention. However, the ro...
Matrix completion is one of the crucial tools in modern data science research. Recently, a novel sampling model for matrix completion coined cross-concentrated sampling (CCS) has caught much attention. However, the robustness of the CCS model against sparse outliers remains unclear in the existing studies. In this paper, we aim to answer this question by exploring a novel Robust CCS Completion problem. A highly efficient non-convex iterative algorithm, dubbed Robust CUR Completion (RCURC), is proposed. The empirical performance of the proposed algorithm, in terms of both efficiency and robustness, is verified in synthetic and real datasets.
This research explores the application of deep learning techniques, specifically Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs with LSTM), for robust Automatic Number Plate Recognition (ANPR...
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The South China Sea suffers strongly from the typhoon storm surge disasters in China,and its northern coastal areas are facing severe ***,it is necessary and urgent to establish an assessment system for rating typhoon...
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The South China Sea suffers strongly from the typhoon storm surge disasters in China,and its northern coastal areas are facing severe ***,it is necessary and urgent to establish an assessment system for rating typhoon storm surge *** constructed an effective and reliable rating assessment system for typhoon storm surge disaster based on the theories of over-threshold,distribution function family,and composite extreme *** over-threshold sample was used as the basis of data analysis,the composite extreme value expansion model was used to derive the design water increment,and then the disaster level was delineated based on the return period *** results of the extreme value model comparison show that the Weibull-Pareto distribution is more suitable than the classical extreme value distribution for fitting the over-threshold *** results of the return period projection are relatively stable based on different analysis *** the 10 typhoon storm surges as examples,they caused landfall in the Guangdong area in the past 10 *** results of the assessment ranking indicate that the risk levels based on the return period levels obtained from different distributions are generally *** classifying low-risk areas,the classification criteria of the State Oceanic Administration,China(SOA,2012)are more *** the high-risk areas,the results of the assessment ranking based on return period are more consistent with those of the SOA.
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