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José A. Guzmán-Torres

1 paper indexed

openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

ADR1D-EWS: Causal Machine-Learning Early Warning for Reactive Contaminant Transport

Gerardo Tinoco-Guerrero, Francisco J. Domínguez-Mota, José A. Guzmán-Torres

ADR1D-EWS is a reproducible machine-learning system for predicting whether contaminant concentration at a protected downstream sensor in the ADR1D benchmark will reach 0.01 mg/L within one hour. The system uses 52 causal features derived only from upstream observations available…

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