Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...
Every sports fan has experienced it: the match that made no sense. A clear favourite loses to an underdog, a last-minute goal ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
The Niño3.4 SST anomalies during 2020–2024 for reanalyses from GODAS (black dotted line) and predictions made by statistical (green dotted lines) and dynamic (blue dotted lines) models from the IRI ...
A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
Modern forex trading heavily depends on advanced analytics, machine learning, and real-time data processing. Big data platforms are boosting forecasting ...
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