This valuable study reports a spatiotemporal atlas of mouse placental development and explores the role of glycogen trophoblast cells in fetal viability. Solid data are presented to support the main ...

Abstract: The emerging deep learning (DL) technology has recently exhibited great potential in data-driven short-term voltage stability (SVS) assessment of complex power grids. However, without ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

This follow-up work demonstrates applying LASER for scene-graph generation in embodied agent environments. Answer: Ensure your CUDA Tool kit and your pytorch has the same version. Take 12.4 as an ...

Abstract: To improve the reliability and interpretability of industrial process monitoring, this article proposes a causal graph spatial–temporal autoencoder (CGSTAE). The network architecture of ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...