The computational work and storage of numerically solving the time fractional PDEs are
generally huge for the traditional direct methods since they require total memory and work …

In a typical Internet of Things (IoT) deployment such as smart cities and Industry 4.0, the
amount of sensory data collected from physical world is significant and wide-ranging …

This paper is concerned with numerical solutions of time-fractional nonlinear parabolic
problems by a class of $ L1 $-Galerkin finite element methods. The analysis of $ L1 …

In this paper, a linearized L1-Galerkin finite element method is proposed to solve the
multidimensional nonlinear time-fractional Schrödinger equation. In terms of a temporal …

Videos captured by people are often tied to certain important moments of their lives. But with
the era of big data coming, the time required to retrieval and watch can be daunting. In this …

This paper is concerned with numerical solutions of time-fractional parabolic equations. Due
to the Caputo time derivative being involved, the solutions of equations are usually singular …

This paper is concerned with unconditionally optimal error estimates of linearized Galerkin
finite element methods to numerically solve some multi-dimensional fractional reaction …

This paper is concerned with the construction and analysis of a novel linearized compact
ADI scheme for the two-dimensional Riesz space fractional nonlinear reaction–diffusion …

This paper is concerned with numerical solutions of nonlinear time fractional reaction–
diffusion equations with time delay. A linearized compact finite difference scheme is …

Because the existing approaches for diagnosing sensor networks lead to low precision and
high complexity, a new fault detection mechanism based on support vector regression and …