This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are ...

The training focused on geology-related topics, with sessions titled “Secrets of the Earth” and “Spatial and Temporal Distribution, Mineralization Mechanisms, and Prospecting Indicators of Magmatic ...

Cindy Needham [Opens in a new window], ...

However, the soft constraint imposed on determining where to attend to valid features can sometimes be insufficient, resulting in temporal inconsistency. In this paper, we introduce FRESCO, ...

Team sports performance functions as a complex system, and players from different positions exhibit a tendency to form team synergies into coordinated patterns contingent upon task orientation, ...

The dynamic interaction of multiple spatial relations greatly influences traffic flow prediction. However, the existing spatial-temporal prediction algorithms are based on graph convolution to capture ...

In this letter, we propose a separable spatial-temporal graph learning approach, which is composed of independent spatial and temporal graph networks. In the spatial graph network, spectral-based ...

Researchers at two EPFL labs have joined forces to give a boost to spatial memory by creating a unique experimental setup ...

BEIJING, Oct. 25, 2024 (GLOBE NEWSWIRE) -- Luokung Technology Corp. (NASDAQ: LKCO) (“Luokung” or the “Company”), a leading spatial-temporal intelligent big data services company and provider of ...

Coastal habitats, including mangroves, salt marshes, seagrass beds, and coral reefs, are critical ecosystems that provide a ...