Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
What if ChatGPT answered with the name of a minister from a year ago when asked, "Who was the minister inaugurated last month ...
Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...
Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...
Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments buried deep in the ground. Occasionally, though, one of them tears apart cities, ...
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 ...
Abstract: Accurate passenger flow prediction helps public transportation authorities optimize routes, reduce delays, and enhance travel experiences. Recently, Spatial-Temporal Graph Neural Networks ...
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 ...
General Intuition PBC, a startup developing artificial intelligence models that can navigate three-dimensional environments, has raised $133.7 million in funding. TechCrunch reported today that Khosla ...