A hypercentral quark model with a deep neural network plus particle swarm optimizer is used to predict masses and semileptonic decays of doubly heavy baryons, but missing parameters and code prevent reproduction.
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Quark Model Study of Doubly Heavy $\Xi$ and $\Omega$ Baryons via Deep Neural Network and Hybrid Optimization
A hypercentral quark model with a deep neural network plus particle swarm optimizer is used to predict masses and semileptonic decays of doubly heavy baryons, but missing parameters and code prevent reproduction.