June 11, 2024, 4:45 a.m. | Shakir Showkat Sofi, Ivan Oseledets

stat.ML updates on arXiv.org arxiv.org

arXiv:2209.14782v2 Announce Type: replace-cross
Abstract: The majority of real-world processes are spatiotemporal, and the data generated by them exhibits both spatial and temporal evolution. Weather is one of the most essential processes in this domain, and weather forecasting has become a crucial part of our daily routine. Weather data analysis is considered the most complex and challenging task. Although numerical weather prediction models are currently state-of-the-art, they are resource-intensive and time-consuming. Numerous studies have proposed time series-based models as a …

abstract analysis arxiv become case case study cs.cv cs.lg cs.na daily data data analysis domain evolution forecasting generated math.na part physics.ao-ph processes replace spatial stat.ml study temporal them type weather weather data weather forecasting world

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