ESA is moving ahead with plans for the first phase of an Earth observation satellite system that will have both civil and military uses.

Brain disease classification based on functional magnetic resonance imaging (fMRI) has become a hotspot in artificial intelligence research. Considering the graph structure properties of the brain ...

Inspired by self-supervised learning, it uses a cross-view contrastive learning technique, splitting the graph into spatial and temporal views, designing specific graph neural networks, and using ...

Emerging techniques for mapping mRNAs within the subcellular compartments of live cells hold great promise for advancing our understanding of the spatial distribution of transcripts and enabling the ...

Photo Credit: TefiM The following is a summary of “Primary care prediction of hip and knee replacement 1-5 years in advance using temporal graph-based convolutional neural networks (TG-CNNs),” ...

Single-cell RNA sequencing and computational analysis define a spatial and temporal map of gene expression during early patterning and morphogenesis of the mouse cranial neural plate, providing a ...

In this work, we develop a diamond-based dynamic nonlocal deformation sensing scheme with high precision and high spatial and temporal resolution, which enables both spatially and temporally resolved ...

This article proposes a lightweight approach that synergistically models geometric information with spatial-temporal information without relying on camera parameters, named spatial-temporal–geometric ...

This approach allows for a comprehensive understanding of the temporal-spatial variation patterns of RESs. Additionally, Global Moran’s Index and Local Indicators of Spatial Association (LISA) are ...

A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...