Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Abstract: Demand forecasting, inventory optimization, and risk mitigation are fundamental and crucial parts of Supply Chain Management. Recent advances in Machine Learning and Deep Learning have ...
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