Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …

Data from patients with coronavirus disease 2019 (COVID-19) are essential for guiding clinical
decision making, for furthering the understanding of this viral disease, and for diagnostic …

In this paper, we consider the numerical solution of a fractional partial differential equation
with Riesz space fractional derivatives (FPDE-RSFD) on a finite domain. Two types of FPDE-…

In this paper, a time-space fractional diffusion equation in two dimensions (TSFDE-2D) with
homogeneous Dirichlet boundary conditions is considered. The TSFDE-2D is obtained from …

When considering the price change of the underlying fractal transmission system, a fractional
Black–Scholes(BS) model with an α -order time fractional derivative is derived. In this paper…

The rapid developments of high‐throughput sequencing technology in the last decade allowed
the emergence of multiomics analyses. Analytic platforms for high‐throughput omics data…

Over the past decade, analyzing issues within the ‘water-energy nexus’ has become a topic
of increasing attention for the scientific and policy communities. Based on an extensive …

As the binary sensing model is a coarse approximation of reality, the probabilistic sensing
model has been proposed as a more realistic model for characterizing the sensing region. A …

Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

Intracellular peroxynitrite anions (ONOO – ) and microenvironments (such as viscosity and
polarity) play an important role in maintaining redox homeostasis, regulating diffusion, …