Traditional time-series forecasting models are ill-equipped to handle the dynamic and event- driven nature of Q-commerce demand. Instead, predictive analytics leveraging external factors—weather ...

HUNDREDS OF INCARCERATED PEOPLE at San Quentin Rehabilitation Center are bracing themselves for unexpected transfers to other ...

Abstract: The problem of routing and wavelength assignment (RWA) is critically important for ... In work to date, this problem has been formulated as a difficult integer programming problem that does ...

Multi-omics analysis of human kidney PDGFRβ+ mesenchymal cells quantified over 14,000 biomolecules across 8 time points, ...

Abstract: The multi-objective dynamic flexible job shop scheduling (MO-DFJSS) problem is crucial in modern manufacturing, impacting productivity and operational costs. Genetic Programming (GP) has ...

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If you’ve been seeking a programme that nurtures self-belief, sparks creativity, and encourages pupils of all backgrounds to ...

Implements a simulation-based dynamic programming framework for optimal portfolio allocation over multiple periods. Combines analytical solutions with approximate methods under CRRA and log utility, ...

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