Abstract: Nomadic ocean forecasting in bandwidth-constrained maritime environments demands innovative solutions to reconcile high-resolution forecasts with sparse onboard observations. Traditional ...
Abstract: In real-world decision-making processes, anticipating customer demand allows businesses to minimize stock shortages, reduce excess inventory, and improve overall operational efficiency, ...
An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...
A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, ...
In a paper in the Journal of Coastal and Riverine Flood Risk, a team from the University of Rhode Island discusses the novel application of Homeland Security exercises to evaluate emergency managers' ...
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