Uptime Intelligence reported an overall decline in the frequency and severity of outages for the fourth consecutive year in a row, with on-site power distribution failures remaining the most ...

Temporal feature representation is critical for soft sensor modeling in industrial time sequences. Deep learning networks like long short-term memory are often used to model the temporal dynamics of ...

First, a GGD-based interval estimation method is developed to transform uncertainty-contaminated data into interval-valued data and represent process uncertainty in a generalized distribution form.

As data privacy issues grow, finding the best privacy preservation algorithm for each situation is increasingly essential. This research has focused on understanding the frequency oracles (FO) privacy ...

Calculating frequency distribution can help us understand data trends, patterns, and make key decisions based on these insights. This article will provide you with a step-by-step guide on how to ...

Frequency distribution is a statistical technique used in analyzing data sets, often employed to summarize large amounts of data and present it in an organized manner. This method lists various ...

If a statistical distribution was not fitted, or could not be recreated, the underlying serial interval data on which the estimates reported in paper were based were extracted if available. The ...