The empirical correlation system serves as a crucial tool for unveiling the linear interconnections between two variables.Its significance lies in providing a prominent approach to depict a straightforward relationship without explicitly indicating a causal link between the sets involved.In the current research, an innovative concept of correlation

Type 1 diabetes (T1D) is emerging as a major healthcare challenge impacting a significant percentage of the population.Management of T1D remains a concern in India with the diversity in socio-economic backgrounds, poor literacy levels, and inadequate resources and facilities which impact timely diagnosis, treatment, and management of this condition

A finite-time sliding mode control system read more based on a radial basis function (RBF) neural network was proposed to solve the longitudinal control problem of incomplete submerged vehicles because of the uncertainty and nonlinearity of undersea vehicle systems.The unknown term in the state space equation of undersea vehicles was compensated fo

The conventional polyphase architecture for linear-phase click here finite impulse response (FIR) filter loses its coefficient symmetry property due to the inefficient arrangement of the filter coefficients among its subfilters.Although, existing polyphase structures can avail the benefits of coefficient symmetry property, at the cost of versatilit