The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
A research team has developed advanced methodologies for predicting the aboveground biomass (AGB) of corn by integrating unmanned aerial vehicles (UAVs), multi-sensor data, and machine learning models ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...
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