Search Results for author:
Found 2 papers, 1 papers with code
Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions
This work explores two approaches to event-driven predictive maintenance in Industry 4. 0 that cast the problem at hand as a classification or a regression one, respectively, using as a starting point two state-of-the-art solutions.
Continuous Outlier Mining of Streaming Data in Flink
In recent years, several solutions have tackled the problem of distance-based outliers in data streams, where outliers must be mined continuously as new elements become available.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
