
XRMDN is a sophisticated deep learning framework designed to accurately forecast probabilistic demand in high-volatility Mobility-on-Demand (MoD) systems, surpassing traditional forecasting models and enhancing operational efficiency.


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XRMDN-A-Novel-Deep-Learning-Framework-for-Probabilistic-Demand-Forecasting-in-MoD-Systems-with-High-Volatility


XRMDN: A Novel Deep Learning Framework for Probabilistic Demand Forecasting in MoD Systems with High Volatility


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XRMDN is a deep learning framework that enhances probabilistic demand forecasting in high-volatility Mobility-on-Demand systems, outperforming traditional models.


xrmdn-an-extended-recurrent-mixture-density-network-for-probabilistic-rider-demand-forecasting-with-high-volatility


XRMDN: An Extended Recurrent Mixture Density Network for Probabilistic Rider Demand Forecasting with High Volatility



XRMDN is a novel deep learning framework that enhances probabilistic demand forecasting in high-volatility Mobility-on-Demand systems.


xrmdn-an-extended-recurrent-mixture-density-network-for-short-term-probabilistic-rider-demand-forecasting-with-high-volatility


XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility
