The variational calculus of time-scale non-shifted systems includes both the traditional continuous and traditional significant discrete variational calculus. Not only can the combination of $\Delta$ and $\nabla$ derivatives be beneficial to obtain higher convergence order in numerical analysis,...

In this paper, the theoretic analysis by stochastic dynamics and numerical simulation by ANN algorithm for tumor-immune models driven by random noises are studied. Firstly, a mathematical model about the competition between tumor cells and immune system is established based on the...

In this paper, a modal decomposition imaging (MDI) algorithm for detecting delamination defects in carbon fiber composite plates using air-coupled Lamb wave is proposed. Compared with the traditional time-domain imaging method, the proposed MDI algorithm contains the pretreatment of the echo...

This paper deals with parameter estimation problem of large-scale systems. A new Recursive Distributed Parameter Estimation Algorithm (RDPEA), based on the minimization of the prediction estimation error method, is developed. Specifically, we consider the class of large-scale systems that is...

Geophysical techniques applied to soils and machine learning algorithms have been used to understand the dynamics of the pedosphere and model soil attributes, but studies exploring the spatial prediction of geophysical data are still scarce. In this research, we aimed to model and map...

With the rapid development of the economy, urban pollution has become a hot issue of human concern, and people are put forward higher requirements for the accuracy of pollutant concentration simulations. Based on the the WRF-Chem model simulation results and Beijing environmental monitoring...

Transient overvoltage caused by energization may damage the insulation in a power cable transmission system. Therefore, overvoltage along the cable should be calculated and evaluated carefully. Calculation based on traditional commercial software is time-consuming, therefore, there is a need to...

Sub-synchronous oscillations (SSOs) are one of the biggest threats to the reliability and resiliency of modern power grids. This work proposes an Empirical Wavelet Transform (EWT) based technique for identifying and analyzing sub-synchronous oscillating modes in the power system using phasor...

Household energy management has become critically important due to the continuous inefficient use of power in residential sector. Nearly 70% of electrical energy consumed by households is accounted for air conditioning, water heaters and lighting systems. This huge energy consumption...

Recently, we proposed a sampling algorithm for diffusion networks that locally adapts the number of nodes sampled according to the estimation error. Thus, it reduces the computational cost associated with the learning task when the error is low in magnitude, e.g., during steady state, and...