Mechanical exfoliation techniques are widely used to create high quality graphene samples
for analytical use. Increasingly, mechanical methods are used to create large quantities of …

Determining distributions of the functions of random variables is one of the most important
problems in statistics and applied mathematics because distributions of functions have wide …

A fundamental problem in meta-analysis is how to systematically combine information from
multiple statistical tests to rigorously evaluate a single overarching hypothesis. This problem …

New propagation techniques using magnetic induction (MI) waveguide solves the problems
of traditional techniques in many challenged environments, such as underground …

In this paper, we extend Stein's method to the distribution of the product of n independent
mean zero normal random variables. A Stein equation is obtained for this class of …

The concept of entropy connects the number of possible configurations with the number of
variables in large stochastic systems. Independent or weakly interacting variables render the …

Allreduce is one of the most commonly used collective operations. Its latency and bandwidth
can be improved by offloading the calculations to the network. However, no way exists to …

This paper revisits the so-called vanishing gradient phenomenon, which commonly occurs
in deep randomly initialized neural networks. Leveraging an in-depth analysis of neural …

In mobile wireless networks with blockage, different users, and/or a single user at different
time slots, may be blocked by some common obstacles. Therefore, the temporal correlation …

In the present paper, the exact probability density function and cumulative distribution
function of the product and the quotient of two independent stable Lévy random variables …