This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Fit-ligand is a computational algorithm that enables accurate modeling of multiple conformational states of ligands in X-ray crystallography and cryo-electron microscopy (cryo-EM).

Abstract: This paper deals with the tuning of the free parameters of the Support Vector Regression technique used for the retrieval of geo/bio-physical variables from remotely sensed data. We propose ...

Results of this study suggested that optimum sample size for Regression Tree is obviously larger than that of the Automatic Linear Modeling. While required minimum sample sizes for the ALM in order to ...

To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...

Article citations More>> Oluigbo, C. U., Ngozi, E. C., & Ohaegbu, P. M. N. I. (2024). Determination of Sample Sizes in Research Using Taro Yamane Formula: An Overview. has been cited by the following ...

The parameter equation of space wire has been obtained in consideration of the sag and windage according to the above analysis. It is assumed that the two wires in space are line1 and line2, ...

This paper presents a numerical algorithm which is using generalized polynomial chaos combined with the finite difference method for the solution of the one-dimensional wave equation with stochastic ...