Abstract: This paper presents a diffusion-based recommender system that incorporates classifier-free guidance. Most current recommender systems provide recommendations using conventional methods such ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Abstract: Product recommendation systems enhance user commitment by enabling personalized suggestions based on distinctive inclinations, actions, and past collaborations. By exploiting approaches such ...