We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...
Abstract: The main aim of this research study is to provide a complex machine learning framework for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization (M3 SCO). We used a ...
Abstract: Long-term forecasting of multivariate time series (MTS) is a crucial yet challenging task due to the intricate interdependencies among variables and the ...