We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...
The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
Abstract: In this paper, the predefined-time cluster formation tracking (PTCFT) of the networked uncrewed surface vehicles (NUSVs) is achieved based on a hierarchical predefined-time output constraint ...
Abstract: Cluster tools are the key equipment in semiconductors manufacturing. Such a tool has been used for some reentrant wafer fabrication processes, such as atomic layer deposition and plasma ...
A burst of low magnitude earthquakes in Northern California is just the latest in a series of earthquake clusters raising questions about whether seismic activity is increasing in the region. On ...
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