Abstract: Three-dimensional inversion of magnetic data can obtain the distribution of subsurface magnetic targets. Deep learning is an effective way to achieve 3-D inversion, which trains a neural ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Abstract: This article presents a data-driven probabilistic framework for estimating missing values in multivariate and time-varying interdependent IoT data streams during reefer container monitoring.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback