In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...
Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
The proposed probabilistic Graph WaveNet (GWN) jointly estimates the conditional mean and sample-dependent variance of wind speed using the Gaussian negative log-likelihood (GNLL). The framework is ...
The main contributions of this paper are summarized as follows: A frequency-enhanced TimeMixer framework is proposed for large industrial load forecasting, which enables a unified modeling of both ...
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