For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Abstract: In this article, we propose a fast and accurate full-wave numerical method to compute the mean and standard deviation of the reflection coefficient for enhanced loran (eLoran) sky-waves ...

Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...

ABSTRACT: Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for ...

Ramming a shin into a coffee table. Bumping a knee into that rod under your desk. Taking a tumble off a bike. These things tend to hurt like [redacted], so you probably won’t be surprised when you ...

Abstract: This paper proposes a stochastic process based remaining useful life (RUL) prediction method for hybrid systems in the presence of intermittent fault. The failure of an intermittently faulty ...

Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. To accurately assess the ...

Will a certain tritium atom decay by a certain time? According to our current science, this question concerning physical phenomena should be answered by sampling from a probability distribution, a ...