The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package ...
Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
As artificial intelligence rapidly reshapes how organisations build products, manage risk, serve customers and run ...
Abstract: Accurate and efficient forecasting of urban water supply is of great significance for urban water supply management. In this paper, a spatiotemporal deep learning model that integrates ...
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