We explore the added value of deep learning techniques for forecasting and nowcasting in official statistics as an alternative to classic time series models. Several neural network algorithms are ...

El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store the heat. More ...

Although deep learning methods have been extensively applied in anomaly detection, there is no one-size-fits-all technique that works for multiple applications across a variety of fields. Further, ...