Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational ...
Abstract: Sliding-window aggregation is one of the core operations in processing and analyzing data streams, but it seriously suffers from the unordered events or elements from data streams. Unordered ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback