This paper presents a method for modelling differential capacitive sensors using Logistic-SSA-ELM algorithm. The method effectively reduces the influence of environmental disturbances on the ...

However, the high-dimensional complexity of spatiotemporal phenomena makes these models difficult to interpret. This paper proposes a river network feature identification architecture based on coupled ...

K. S. Miller and B. Ross , An Introduction to the Fractional Calculus and Fractional Differential Equations ( John Wiley and Sons , New York , 1993 ) . Google Scholar M. Weilbeer , Efficient Numerical ...

Learning data-driven discretizations for partial differential equations Code associated with the paper: Learning data-driven discretizations for partial differential equations. Yohai Bar-Sinai, ...

Python Implementation of Ordinary Differential Equations Solvers using Hybrid Physics-informed Neural Networks This repository is provided as a tutorial for the implementation of integration ...

For dissipative partial differential equations the Lumer-Phillips generation theorem characterizes solvability and also boundedness of the associated semigroup. An extension of the Lumer-Phillips ...

This paper mainly deals with a Keller–Segel–Navier–Stokes model with sub-logistic source in a two-dimensional bounded and smooth domain. For a large class of cell kinetics including sub-logistic ...